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  • Understanding G1 GC Logs

    - by poonam
    The purpose of this post is to explain the meaning of GC logs generated with some tracing and diagnostic options for G1 GC. We will take a look at the output generated with PrintGCDetails which is a product flag and provides the most detailed level of information. Along with that, we will also look at the output of two diagnostic flags that get enabled with -XX:+UnlockDiagnosticVMOptions option - G1PrintRegionLivenessInfo that prints the occupancy and the amount of space used by live objects in each region at the end of the marking cycle and G1PrintHeapRegions that provides detailed information on the heap regions being allocated and reclaimed. We will be looking at the logs generated with JDK 1.7.0_04 using these options. Option -XX:+PrintGCDetails Here's a sample log of G1 collection generated with PrintGCDetails. 0.522: [GC pause (young), 0.15877971 secs] [Parallel Time: 157.1 ms] [GC Worker Start (ms): 522.1 522.2 522.2 522.2 Avg: 522.2, Min: 522.1, Max: 522.2, Diff: 0.1] [Ext Root Scanning (ms): 1.6 1.5 1.6 1.9 Avg: 1.7, Min: 1.5, Max: 1.9, Diff: 0.4] [Update RS (ms): 38.7 38.8 50.6 37.3 Avg: 41.3, Min: 37.3, Max: 50.6, Diff: 13.3] [Processed Buffers : 2 2 3 2 Sum: 9, Avg: 2, Min: 2, Max: 3, Diff: 1] [Scan RS (ms): 9.9 9.7 0.0 9.7 Avg: 7.3, Min: 0.0, Max: 9.9, Diff: 9.9] [Object Copy (ms): 106.7 106.8 104.6 107.9 Avg: 106.5, Min: 104.6, Max: 107.9, Diff: 3.3] [Termination (ms): 0.0 0.0 0.0 0.0 Avg: 0.0, Min: 0.0, Max: 0.0, Diff: 0.0] [Termination Attempts : 1 4 4 6 Sum: 15, Avg: 3, Min: 1, Max: 6, Diff: 5] [GC Worker End (ms): 679.1 679.1 679.1 679.1 Avg: 679.1, Min: 679.1, Max: 679.1, Diff: 0.1] [GC Worker (ms): 156.9 157.0 156.9 156.9 Avg: 156.9, Min: 156.9, Max: 157.0, Diff: 0.1] [GC Worker Other (ms): 0.3 0.3 0.3 0.3 Avg: 0.3, Min: 0.3, Max: 0.3, Diff: 0.0] [Clear CT: 0.1 ms] [Other: 1.5 ms] [Choose CSet: 0.0 ms] [Ref Proc: 0.3 ms] [Ref Enq: 0.0 ms] [Free CSet: 0.3 ms] [Eden: 12M(12M)->0B(10M) Survivors: 0B->2048K Heap: 13M(64M)->9739K(64M)] [Times: user=0.59 sys=0.02, real=0.16 secs] This is the typical log of an Evacuation Pause (G1 collection) in which live objects are copied from one set of regions (young OR young+old) to another set. It is a stop-the-world activity and all the application threads are stopped at a safepoint during this time. This pause is made up of several sub-tasks indicated by the indentation in the log entries. Here's is the top most line that gets printed for the Evacuation Pause. 0.522: [GC pause (young), 0.15877971 secs] This is the highest level information telling us that it is an Evacuation Pause that started at 0.522 secs from the start of the process, in which all the regions being evacuated are Young i.e. Eden and Survivor regions. This collection took 0.15877971 secs to finish. Evacuation Pauses can be mixed as well. In which case the set of regions selected include all of the young regions as well as some old regions. 1.730: [GC pause (mixed), 0.32714353 secs] Let's take a look at all the sub-tasks performed in this Evacuation Pause. [Parallel Time: 157.1 ms] Parallel Time is the total elapsed time spent by all the parallel GC worker threads. The following lines correspond to the parallel tasks performed by these worker threads in this total parallel time, which in this case is 157.1 ms. [GC Worker Start (ms): 522.1 522.2 522.2 522.2Avg: 522.2, Min: 522.1, Max: 522.2, Diff: 0.1] The first line tells us the start time of each of the worker thread in milliseconds. The start times are ordered with respect to the worker thread ids – thread 0 started at 522.1ms and thread 1 started at 522.2ms from the start of the process. The second line tells the Avg, Min, Max and Diff of the start times of all of the worker threads. [Ext Root Scanning (ms): 1.6 1.5 1.6 1.9 Avg: 1.7, Min: 1.5, Max: 1.9, Diff: 0.4] This gives us the time spent by each worker thread scanning the roots (globals, registers, thread stacks and VM data structures). Here, thread 0 took 1.6ms to perform the root scanning task and thread 1 took 1.5 ms. The second line clearly shows the Avg, Min, Max and Diff of the times spent by all the worker threads. [Update RS (ms): 38.7 38.8 50.6 37.3 Avg: 41.3, Min: 37.3, Max: 50.6, Diff: 13.3] Update RS gives us the time each thread spent in updating the Remembered Sets. Remembered Sets are the data structures that keep track of the references that point into a heap region. Mutator threads keep changing the object graph and thus the references that point into a particular region. We keep track of these changes in buffers called Update Buffers. The Update RS sub-task processes the update buffers that were not able to be processed concurrently, and updates the corresponding remembered sets of all regions. [Processed Buffers : 2 2 3 2Sum: 9, Avg: 2, Min: 2, Max: 3, Diff: 1] This tells us the number of Update Buffers (mentioned above) processed by each worker thread. [Scan RS (ms): 9.9 9.7 0.0 9.7 Avg: 7.3, Min: 0.0, Max: 9.9, Diff: 9.9] These are the times each worker thread had spent in scanning the Remembered Sets. Remembered Set of a region contains cards that correspond to the references pointing into that region. This phase scans those cards looking for the references pointing into all the regions of the collection set. [Object Copy (ms): 106.7 106.8 104.6 107.9 Avg: 106.5, Min: 104.6, Max: 107.9, Diff: 3.3] These are the times spent by each worker thread copying live objects from the regions in the Collection Set to the other regions. [Termination (ms): 0.0 0.0 0.0 0.0 Avg: 0.0, Min: 0.0, Max: 0.0, Diff: 0.0] Termination time is the time spent by the worker thread offering to terminate. But before terminating, it checks the work queues of other threads and if there are still object references in other work queues, it tries to steal object references, and if it succeeds in stealing a reference, it processes that and offers to terminate again. [Termination Attempts : 1 4 4 6 Sum: 15, Avg: 3, Min: 1, Max: 6, Diff: 5] This gives the number of times each thread has offered to terminate. [GC Worker End (ms): 679.1 679.1 679.1 679.1 Avg: 679.1, Min: 679.1, Max: 679.1, Diff: 0.1] These are the times in milliseconds at which each worker thread stopped. [GC Worker (ms): 156.9 157.0 156.9 156.9 Avg: 156.9, Min: 156.9, Max: 157.0, Diff: 0.1] These are the total lifetimes of each worker thread. [GC Worker Other (ms): 0.3 0.3 0.3 0.3Avg: 0.3, Min: 0.3, Max: 0.3, Diff: 0.0] These are the times that each worker thread spent in performing some other tasks that we have not accounted above for the total Parallel Time. [Clear CT: 0.1 ms] This is the time spent in clearing the Card Table. This task is performed in serial mode. [Other: 1.5 ms] Time spent in the some other tasks listed below. The following sub-tasks (which individually may be parallelized) are performed serially. [Choose CSet: 0.0 ms] Time spent in selecting the regions for the Collection Set. [Ref Proc: 0.3 ms] Total time spent in processing Reference objects. [Ref Enq: 0.0 ms] Time spent in enqueuing references to the ReferenceQueues. [Free CSet: 0.3 ms] Time spent in freeing the collection set data structure. [Eden: 12M(12M)->0B(13M) Survivors: 0B->2048K Heap: 14M(64M)->9739K(64M)] This line gives the details on the heap size changes with the Evacuation Pause. This shows that Eden had the occupancy of 12M and its capacity was also 12M before the collection. After the collection, its occupancy got reduced to 0 since everything is evacuated/promoted from Eden during a collection, and its target size grew to 13M. The new Eden capacity of 13M is not reserved at this point. This value is the target size of the Eden. Regions are added to Eden as the demand is made and when the added regions reach to the target size, we start the next collection. Similarly, Survivors had the occupancy of 0 bytes and it grew to 2048K after the collection. The total heap occupancy and capacity was 14M and 64M receptively before the collection and it became 9739K and 64M after the collection. Apart from the evacuation pauses, G1 also performs concurrent-marking to build the live data information of regions. 1.416: [GC pause (young) (initial-mark), 0.62417980 secs] ….... 2.042: [GC concurrent-root-region-scan-start] 2.067: [GC concurrent-root-region-scan-end, 0.0251507] 2.068: [GC concurrent-mark-start] 3.198: [GC concurrent-mark-reset-for-overflow] 4.053: [GC concurrent-mark-end, 1.9849672 sec] 4.055: [GC remark 4.055: [GC ref-proc, 0.0000254 secs], 0.0030184 secs] [Times: user=0.00 sys=0.00, real=0.00 secs] 4.088: [GC cleanup 117M->106M(138M), 0.0015198 secs] [Times: user=0.00 sys=0.00, real=0.00 secs] 4.090: [GC concurrent-cleanup-start] 4.091: [GC concurrent-cleanup-end, 0.0002721] The first phase of a marking cycle is Initial Marking where all the objects directly reachable from the roots are marked and this phase is piggy-backed on a fully young Evacuation Pause. 2.042: [GC concurrent-root-region-scan-start] This marks the start of a concurrent phase that scans the set of root-regions which are directly reachable from the survivors of the initial marking phase. 2.067: [GC concurrent-root-region-scan-end, 0.0251507] End of the concurrent root region scan phase and it lasted for 0.0251507 seconds. 2.068: [GC concurrent-mark-start] Start of the concurrent marking at 2.068 secs from the start of the process. 3.198: [GC concurrent-mark-reset-for-overflow] This indicates that the global marking stack had became full and there was an overflow of the stack. Concurrent marking detected this overflow and had to reset the data structures to start the marking again. 4.053: [GC concurrent-mark-end, 1.9849672 sec] End of the concurrent marking phase and it lasted for 1.9849672 seconds. 4.055: [GC remark 4.055: [GC ref-proc, 0.0000254 secs], 0.0030184 secs] This corresponds to the remark phase which is a stop-the-world phase. It completes the left over marking work (SATB buffers processing) from the previous phase. In this case, this phase took 0.0030184 secs and out of which 0.0000254 secs were spent on Reference processing. 4.088: [GC cleanup 117M->106M(138M), 0.0015198 secs] Cleanup phase which is again a stop-the-world phase. It goes through the marking information of all the regions, computes the live data information of each region, resets the marking data structures and sorts the regions according to their gc-efficiency. In this example, the total heap size is 138M and after the live data counting it was found that the total live data size dropped down from 117M to 106M. 4.090: [GC concurrent-cleanup-start] This concurrent cleanup phase frees up the regions that were found to be empty (didn't contain any live data) during the previous stop-the-world phase. 4.091: [GC concurrent-cleanup-end, 0.0002721] Concurrent cleanup phase took 0.0002721 secs to free up the empty regions. Option -XX:G1PrintRegionLivenessInfo Now, let's look at the output generated with the flag G1PrintRegionLivenessInfo. This is a diagnostic option and gets enabled with -XX:+UnlockDiagnosticVMOptions. G1PrintRegionLivenessInfo prints the live data information of each region during the Cleanup phase of the concurrent-marking cycle. 26.896: [GC cleanup ### PHASE Post-Marking @ 26.896### HEAP committed: 0x02e00000-0x0fe00000 reserved: 0x02e00000-0x12e00000 region-size: 1048576 Cleanup phase of the concurrent-marking cycle started at 26.896 secs from the start of the process and this live data information is being printed after the marking phase. Committed G1 heap ranges from 0x02e00000 to 0x0fe00000 and the total G1 heap reserved by JVM is from 0x02e00000 to 0x12e00000. Each region in the G1 heap is of size 1048576 bytes. ### type address-range used prev-live next-live gc-eff### (bytes) (bytes) (bytes) (bytes/ms) This is the header of the output that tells us about the type of the region, address-range of the region, used space in the region, live bytes in the region with respect to the previous marking cycle, live bytes in the region with respect to the current marking cycle and the GC efficiency of that region. ### FREE 0x02e00000-0x02f00000 0 0 0 0.0 This is a Free region. ### OLD 0x02f00000-0x03000000 1048576 1038592 1038592 0.0 Old region with address-range from 0x02f00000 to 0x03000000. Total used space in the region is 1048576 bytes, live bytes as per the previous marking cycle are 1038592 and live bytes with respect to the current marking cycle are also 1038592. The GC efficiency has been computed as 0. ### EDEN 0x03400000-0x03500000 20992 20992 20992 0.0 This is an Eden region. ### HUMS 0x0ae00000-0x0af00000 1048576 1048576 1048576 0.0### HUMC 0x0af00000-0x0b000000 1048576 1048576 1048576 0.0### HUMC 0x0b000000-0x0b100000 1048576 1048576 1048576 0.0### HUMC 0x0b100000-0x0b200000 1048576 1048576 1048576 0.0### HUMC 0x0b200000-0x0b300000 1048576 1048576 1048576 0.0### HUMC 0x0b300000-0x0b400000 1048576 1048576 1048576 0.0### HUMC 0x0b400000-0x0b500000 1001480 1001480 1001480 0.0 These are the continuous set of regions called Humongous regions for storing a large object. HUMS (Humongous starts) marks the start of the set of humongous regions and HUMC (Humongous continues) tags the subsequent regions of the humongous regions set. ### SURV 0x09300000-0x09400000 16384 16384 16384 0.0 This is a Survivor region. ### SUMMARY capacity: 208.00 MB used: 150.16 MB / 72.19 % prev-live: 149.78 MB / 72.01 % next-live: 142.82 MB / 68.66 % At the end, a summary is printed listing the capacity, the used space and the change in the liveness after the completion of concurrent marking. In this case, G1 heap capacity is 208MB, total used space is 150.16MB which is 72.19% of the total heap size, live data in the previous marking was 149.78MB which was 72.01% of the total heap size and the live data as per the current marking is 142.82MB which is 68.66% of the total heap size. Option -XX:+G1PrintHeapRegions G1PrintHeapRegions option logs the regions related events when regions are committed, allocated into or are reclaimed. COMMIT/UNCOMMIT events G1HR COMMIT [0x6e900000,0x6ea00000]G1HR COMMIT [0x6ea00000,0x6eb00000] Here, the heap is being initialized or expanded and the region (with bottom: 0x6eb00000 and end: 0x6ec00000) is being freshly committed. COMMIT events are always generated in order i.e. the next COMMIT event will always be for the uncommitted region with the lowest address. G1HR UNCOMMIT [0x72700000,0x72800000]G1HR UNCOMMIT [0x72600000,0x72700000] Opposite to COMMIT. The heap got shrunk at the end of a Full GC and the regions are being uncommitted. Like COMMIT, UNCOMMIT events are also generated in order i.e. the next UNCOMMIT event will always be for the committed region with the highest address. GC Cycle events G1HR #StartGC 7G1HR CSET 0x6e900000G1HR REUSE 0x70500000G1HR ALLOC(Old) 0x6f800000G1HR RETIRE 0x6f800000 0x6f821b20G1HR #EndGC 7 This shows start and end of an Evacuation pause. This event is followed by a GC counter tracking both evacuation pauses and Full GCs. Here, this is the 7th GC since the start of the process. G1HR #StartFullGC 17G1HR UNCOMMIT [0x6ed00000,0x6ee00000]G1HR POST-COMPACTION(Old) 0x6e800000 0x6e854f58G1HR #EndFullGC 17 Shows start and end of a Full GC. This event is also followed by the same GC counter as above. This is the 17th GC since the start of the process. ALLOC events G1HR ALLOC(Eden) 0x6e800000 The region with bottom 0x6e800000 just started being used for allocation. In this case it is an Eden region and allocated into by a mutator thread. G1HR ALLOC(StartsH) 0x6ec00000 0x6ed00000G1HR ALLOC(ContinuesH) 0x6ed00000 0x6e000000 Regions being used for the allocation of Humongous object. The object spans over two regions. G1HR ALLOC(SingleH) 0x6f900000 0x6f9eb010 Single region being used for the allocation of Humongous object. G1HR COMMIT [0x6ee00000,0x6ef00000]G1HR COMMIT [0x6ef00000,0x6f000000]G1HR COMMIT [0x6f000000,0x6f100000]G1HR COMMIT [0x6f100000,0x6f200000]G1HR ALLOC(StartsH) 0x6ee00000 0x6ef00000G1HR ALLOC(ContinuesH) 0x6ef00000 0x6f000000G1HR ALLOC(ContinuesH) 0x6f000000 0x6f100000G1HR ALLOC(ContinuesH) 0x6f100000 0x6f102010 Here, Humongous object allocation request could not be satisfied by the free committed regions that existed in the heap, so the heap needed to be expanded. Thus new regions are committed and then allocated into for the Humongous object. G1HR ALLOC(Old) 0x6f800000 Old region started being used for allocation during GC. G1HR ALLOC(Survivor) 0x6fa00000 Region being used for copying old objects into during a GC. Note that Eden and Humongous ALLOC events are generated outside the GC boundaries and Old and Survivor ALLOC events are generated inside the GC boundaries. Other Events G1HR RETIRE 0x6e800000 0x6e87bd98 Retire and stop using the region having bottom 0x6e800000 and top 0x6e87bd98 for allocation. Note that most regions are full when they are retired and we omit those events to reduce the output volume. A region is retired when another region of the same type is allocated or we reach the start or end of a GC(depending on the region). So for Eden regions: For example: 1. ALLOC(Eden) Foo2. ALLOC(Eden) Bar3. StartGC At point 2, Foo has just been retired and it was full. At point 3, Bar was retired and it was full. If they were not full when they were retired, we will have a RETIRE event: 1. ALLOC(Eden) Foo2. RETIRE Foo top3. ALLOC(Eden) Bar4. StartGC G1HR CSET 0x6e900000 Region (bottom: 0x6e900000) is selected for the Collection Set. The region might have been selected for the collection set earlier (i.e. when it was allocated). However, we generate the CSET events for all regions in the CSet at the start of a GC to make sure there's no confusion about which regions are part of the CSet. G1HR POST-COMPACTION(Old) 0x6e800000 0x6e839858 POST-COMPACTION event is generated for each non-empty region in the heap after a full compaction. A full compaction moves objects around, so we don't know what the resulting shape of the heap is (which regions were written to, which were emptied, etc.). To deal with this, we generate a POST-COMPACTION event for each non-empty region with its type (old/humongous) and the heap boundaries. At this point we should only have Old and Humongous regions, as we have collapsed the young generation, so we should not have eden and survivors. POST-COMPACTION events are generated within the Full GC boundary. G1HR CLEANUP 0x6f400000G1HR CLEANUP 0x6f300000G1HR CLEANUP 0x6f200000 These regions were found empty after remark phase of Concurrent Marking and are reclaimed shortly afterwards. G1HR #StartGC 5G1HR CSET 0x6f400000G1HR CSET 0x6e900000G1HR REUSE 0x6f800000 At the end of a GC we retire the old region we are allocating into. Given that its not full, we will carry on allocating into it during the next GC. This is what REUSE means. In the above case 0x6f800000 should have been the last region with an ALLOC(Old) event during the previous GC and should have been retired before the end of the previous GC. G1HR ALLOC-FORCE(Eden) 0x6f800000 A specialization of ALLOC which indicates that we have reached the max desired number of the particular region type (in this case: Eden), but we decided to allocate one more. Currently it's only used for Eden regions when we extend the young generation because we cannot do a GC as the GC-Locker is active. G1HR EVAC-FAILURE 0x6f800000 During a GC, we have failed to evacuate an object from the given region as the heap is full and there is no space left to copy the object. This event is generated within GC boundaries and exactly once for each region from which we failed to evacuate objects. When Heap Regions are reclaimed ? It is also worth mentioning when the heap regions in the G1 heap are reclaimed. All regions that are in the CSet (the ones that appear in CSET events) are reclaimed at the end of a GC. The exception to that are regions with EVAC-FAILURE events. All regions with CLEANUP events are reclaimed. After a Full GC some regions get reclaimed (the ones from which we moved the objects out). But that is not shown explicitly, instead the non-empty regions that are left in the heap are printed out with the POST-COMPACTION events.

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  • Login failed for user 'sa' because the account is currently locked out. The system administrator can

    - by cabhilash
    Login failed for user 'sa' because the account is currently locked out. The system administrator can unlock it. (Microsoft SQL Server, Error: 18486) SQL server has local password policies. If policy is enabled which locks down the account after X number of failed attempts then the account is automatically locked down.This error with 'sa' account is very common. sa is default administartor login available with SQL server. So there are chances that an ousider has tried to bruteforce your system. (This can cause even if a legitimate tries to access the account with wrong password.Sometimes a user would have changed the password without informing others. So the other users would try to lo) You can unlock the account with the following options (use another admin account or connect via windows authentication) Alter account & unlock ALTER LOGIN sa WITH PASSWORD='password' UNLOCK Use another account Almost everyone is aware of the sa account. This can be the potential security risk. Even if you provide strong password hackers can lock the account by providing the wrong password. ( You can provide extra security by installing firewall or changing the default port but these measures are not always practical). As a best practice you can disable the sa account and use another account with same privileges.ALTER LOGIN sa DISABLE You can edit the lock-ot options using gpedit.msc( in command prompt type gpedit.msc and press enter). Navigate to Account Lokout policy as shown in the figure The Following options are available Account lockout threshold This security setting determines the number of failed logon attempts that causes a user account to be locked out. A locked-out account cannot be used until it is reset by an administrator or until the lockout duration for the account has expired. You can set a value between 0 and 999 failed logon attempts. If you set the value to 0, the account will never be locked out. Failed password attempts against workstations or member servers that have been locked using either CTRL+ALT+DELETE or password-protected screen savers count as failed logon attempts. Account lockout duration This security setting determines the number of minutes a locked-out account remains locked out before automatically becoming unlocked. The available range is from 0 minutes through 99,999 minutes. If you set the account lockout duration to 0, the account will be locked out until an administrator explicitly unlocks it. If an account lockout threshold is defined, the account lockout duration must be greater than or equal to the reset time. Default: None, because this policy setting only has meaning when an Account lockout threshold is specified. Reset account lockout counter after This security setting determines the number of minutes that must elapse after a failed logon attempt before the failed logon attempt counter is reset to 0 bad logon attempts. The available range is 1 minute to 99,999 minutes. If an account lockout threshold is defined, this reset time must be less than or equal to the Account lockout duration. Default: None, because this policy setting only has meaning when an Account lockout threshold is specified.When creating SQL user you can set CHECK_POLICY=on which will enforce the windows password policy on the account. The following policies will be applied Define the Enforce password history policy setting so that several previous passwords are remembered. With this policy setting, users cannot use the same password when their password expires.  Define the Maximum password age policy setting so that passwords expire as often as necessary for your environment, typically, every 30 to 90 days. With this policy setting, if an attacker cracks a password, the attacker only has access to the network until the password expires.  Define the Minimum password age policy setting so that passwords cannot be changed until they are more than a certain number of days old. This policy setting works in combination with the Enforce password historypolicy setting. If a minimum password age is defined, users cannot repeatedly change their passwords to get around the Enforce password history policy setting and then use their original password. Users must wait the specified number of days to change their passwords.  Define a Minimum password length policy setting so that passwords must consist of at least a specified number of characters. Long passwords--seven or more characters--are usually stronger than short ones. With this policy setting, users cannot use blank passwords, and they have to create passwords that are a certain number of characters long.  Enable the Password must meet complexity requirements policy setting. This policy setting checks all new passwords to ensure that they meet basic strong password requirements.  Password must meet the following complexity requirement, when they are changed or created: Not contain the user's entire Account Name or entire Full Name. The Account Name and Full Name are parsed for delimiters: commas, periods, dashes or hyphens, underscores, spaces, pound signs, and tabs. If any of these delimiters are found, the Account Name or Full Name are split and all sections are verified not to be included in the password. There is no check for any character or any three characters in succession. Contain characters from three of the following five categories:  English uppercase characters (A through Z) English lowercase characters (a through z) Base 10 digits (0 through 9) Non-alphabetic characters (for example, !, $, #, %) A catch-all category of any Unicode character that does not fall under the previous four categories. This fifth category can be regionally specific.

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  • shader coding: calculate screen coordinates of fragment

    - by Jay
    Good morning, I'm new to shader coding and trying to implement some visual effects code in shaders using billboards. (Yes, I couldn't have picked anything harder to start with, but I'm lucky that way) Setup: I have rendered the full screen z depth to an array of floats in a previous pass. In the fragment shader I need the scene depth where the rendered fragment is displayed (to see if it's occluded). I can use tex2d() to get the depth value if I have the screen coordinates of the point being rendered in the fragment shader. Question: In the fragment shader how do you calculate the screen coordinates of the pixel (in the range 0-1.0)? Is the position passed to the fragment shader a pixel offset? If so, I guess it would be: float2( position.x / screen-width, position.y / screen-height ) Thanks for any help/

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  • Five Reasons to Attend PLM Summit 2013: The Conference Formerly Known as AGILITY

    - by Terri Hiskey
    As we approach the end of 2012, we are also closing in on the last couple of weeks that Agile customers and prospects can register for the upcoming PLM Summit 2013 for the bargain early bird rate of $195. Register now to secure your spot! The Conference Formerly Known as AGILITY... Long-time Agile customers may remember AGILITY, which was Agile's PLM customer conference that was held on an annual basis prior to Oracle's acquisiton of Agile in 2007. In February 2012, due to feedback we received from our Agile PLM community, we successfully resurrected the AGILITY conference and renamed it the PLM Summit. The PLM Summit was so well received and well-attended, that we are doing it again in 2013. This upcoming PLM Summit is being co-located in San Francisco under the overarching banner of the Oracle Value Chain Summit, and will be held alongside several other Oracle customer conferences that cover a range of value chain solutions, including Value Chain Planning, Value Chain Execution, Procurement, Maintenance and Manufacturing. This setup offers PLM attendees the best of all worlds--the opportunity to participate and learn about PLM in smaller, focused sessions by product and by industry, while also giving attendees the chance to see how PLM works together with other critical enterprise applications that address other important aspects of the value chain. Top Five Reasons to Attend the PLM Summit 2013 In the spirit of all of the end-of-the-year lists that are currently popping up, here is a list of the top five reasons to attend the PLM Summit for anyone out there needs a little extra encouragement to register: 1. The Best Opportunities for Customer Networking   The PLM Summit offers attendees numerous opportunities to learn and network with fellow Agile users. Customer stories are featured in keynote and breakout presentations and the schedule allows for plenty of networking time during breakfasts, lunches, breaks and dinners. Customer networking is the number one reason that Agile users attend the PLM Summit. Read what attendees thought of the most recent PLM Summit: "Hearing about the implementation of Agile products from a customers’ perspective is invaluable." - Director of Quality Assurance & Regulatory Affairs, leading medical device manufacturer "Understanding the scope of other companies’ projects and the lessons learned made attending this event well worth my time." - Director of Test Engineering, global industrial manufacturer "The most beneficial thing about attending this event is the opportunity to network with other customers with similar experiences." - Director of Business Process Improvement, leading high technology company Come to the PLM Summit and play an active role within the PLM community: swap war stories and business cards, connect on LinkedIn and Facebook, share your stories and discuss the sessions from each day. Register now! 2. It's Educational! The PLM Summit is the premier educational event for anyone in the Agile PLM community. There are nearly 40 PLM-focused in-depth educational sessions led by Agile PLM experts, customers and partners that will cover a range of specific product and industry-focused topics. Keynotes will give attendees a broad overview of the entire Agile PLM footprint, while sessions will delve deeply into specific product functionality and customer case studies. There is truly something for everyone. Check out the latest agenda for view of all the sessions. 3. Visit with the PLM Partner Community Our partners play a significant and important role within the Agile PLM community. At the PLM Summit, attendees will be able to meet and mingle with several of the top Oracle Agile PLM partners including: Deloitte, Domain, GoEngineer, Hitachi Consulting, IBM, Kalypso, KPIT Cummins (CPG Solutions), Perception Software, Verdant, Xavor and ZeroWaitState. Go here for a complete list of all the Value Chain Summit sponsors. 4. See Agile PLM in Action at our Dedicated PLM Demo Pods At the PLM Summit, attendees will have the chance to see Agile PLM in action at dedicated PLM demo pods, manned by expert members of our Agile PLM team. If you would like to see up close specific Agile PLM functionality, or if you have a question on how to extend the scope of your current implemention or if you want a better understanding of how to leverage Agile PLM to address specific use-cases, stop by one of the Agile PLM demo pods and engage the Agile PLM experts on hand at the PLM Summit. 5. Spend Some Time in Lovely San Francisco Still on the fence about the upcoming PLM Summit? Remember that it is being held in San Francisco, which is a fantastic city for a getaway. After spending time learning and networking about PLM, take an extra day or two to escape the dreary winter and enjoy the beautiful scenery and the unique actitivies offered only by the City by the Bay. You will walk away from the conference not only with renewed excitement about Agile PLM, but feeling rejuvenated in general.

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  • Bluetooth fix for Ubuntu 12.04, lenovo G580

    - by Sam Abraham
    Bluetooth not working, it shows turned on but manager indicated Bluetooth disabled. Uninstalled default manager and installed Blueman. The same with Blueman, clicking on connect to devices gets response 'adapters not found'. I've found many more people with the same problem. The fixes found in the archive don't work for me. I've tried a couple of things from the forum. I'm not familiar with computer hardware or software but have been using Ubuntu cause it saves me money, it's fairly easy to use and it does not tax my mid-range lap. Any help will be appreciated.

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  • Join us at BIWA Summit 2013!

    - by mhornick
    Registration is now open for BIWA Summit 2013.  This event, focused on Business Intelligence, Data Warehousing and Analytics, is hosted by the BIWA SIG of the IOUG on January 9 and 10 at the Hotel Sofitel, near Oracle headquarters in Redwood City, California. Be sure to check out our featured speakers, including Oracle executives Balaji Yelamanchili, Vaishnavi Sashikanth, and Tom Kyte, and Ari Kaplan, sports analyst, as well as the many other internationally recognized speakers.  Hands-on labs will give you the opportunity to try out much of the Oracle software for yourself (including Oracle R Enterprise)--be sure to bring a laptop capable of running Windows Remote Desktop.  There will be over 35 sessions on a wide range of BIWA-related topics.  See the BIWA Summit 2013 web site for details and be sure to register soon, while early bird rates still apply.

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  • Best approach for unit enemy "awareness" in RTS?

    - by Phil
    I'm using Unity3d to develop an RTS/TD hybrid prototype game. What is the best approach to have "awareness" between units and their enemies? Is it sane to have every unit check the distance to every enemy and engage if within range? The approach I'm going for right now is to have a trigger sphere on every unit. If an enemy enters the trigger, the unit becomes aware of the enemy and starts distance checking. I'm imagining that this would save some unnecessary checks? What's the best practice here (if there's such a thing)? Thanks for reading.

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  • Project Euler 9: (Iron)Python

    - by Ben Griswold
    In my attempt to learn (Iron)Python out in the open, here’s my solution for Project Euler Problem 9.  As always, any feedback is welcome. # Euler 9 # http://projecteuler.net/index.php?section=problems&id=9 # A Pythagorean triplet is a set of three natural numbers, # a b c, for which, # a2 + b2 = c2 # For example, 32 + 42 = 9 + 16 = 25 = 52. # There exists exactly one Pythagorean triplet for which # a + b + c = 1000. Find the product abc. import time start = time.time() product = 0 def pythagorean_triplet(): for a in range(1,501): for b in xrange(a+1,501): c = 1000 - a - b if (a*a + b*b == c*c): return a*b*c print pythagorean_triplet() print "Elapsed Time:", (time.time() - start) * 1000, "millisecs" a=raw_input('Press return to continue')

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  • Deluge bit torrent. No incoming connections?

    - by mark kirby
    Hi I keep getting a no incoming connections on my Deluge. I know this is a pretty common problem from Google, but I have posted here to see if any one knows why this happens. I have port forwarded my router and set Deluge to the correct port range. Is this just a bug ? It does not seem to affect the speed so I obviously do have incoming connections and Transmission says the ports are open. So I guess my question is why is this happening ?

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  • Project Euler 5: (Iron)Python

    - by Ben Griswold
    In my attempt to learn (Iron)Python out in the open, here’s my solution for Project Euler Problem 5.  As always, any feedback is welcome. # Euler 5 # http://projecteuler.net/index.php?section=problems&id=5 # 2520 is the smallest number that can be divided by each # of the numbers from 1 to 10 without any remainder. # What is the smallest positive number that is evenly # divisible by all of the numbers from 1 to 20? import time start = time.time() def gcd(a, b): while b: a, b = b, a % b return a def lcm(a, b): return a * b // gcd(a, b) print reduce(lcm, range(1, 20)) print "Elapsed Time:", (time.time() - start) * 1000, "millisecs" a=raw_input('Press return to continue')

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  • Working with FusionCharts using ASP.NET

    Nowadays, users are constantly looking for more intuitive user interfaces. Because of this, it is vital to develop ASP.NET applications with diagrams such as Charts. FusionCharts enables you to plug-in several charts from a wide range of sources easily with a small amount of code. In this article, Anand examines the usage of FusionCharts in a step-by-step manner using three different scenarios. He initially examines the plotting of charts using the data from an XML file and also demonstrates the same using the values entered by users. Finally, Anand delves deep into the database connectivity aspects using an Access 2010 database with the help of relevant source code examples and screenshots.

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  • Are Language Comparisons Meaningful?

    - by Prasoon Saurav
    Dr Bjarne Stroustrup in his book D&E says Several reviewers asked me to compare C++ to other languages. This I have decided against doing. Thereby, I have reaffirmed a long-standing and strongly held view: "Language comparisons are rarely meaningful and even less often fair" . A good comparison of major programming languages requires more effort than most people are willing to spend, experience in a wide range of application areas, a rigid maintenance of a detached and impartial point of view, and a sense of fairness. I do not have the time, and as the designer of C++, my impartiality would never be fully credible. -- The Design and Evolution of C++(Bjarne Stroustrup) Do you people agree with his this statement "Language comparisons are rarely meaningful and even less often fair"? Personally I think that comparing a language X with Y makes sense because it gives many more reasons to love/despise X/Y :-P What do you people think?

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  • Getting started with Oracle Database In-Memory Part III - Querying The IM Column Store

    - by Maria Colgan
    In my previous blog posts, I described how to install, enable, and populate the In-Memory column store (IM column store). This weeks post focuses on how data is accessed within the IM column store. Let’s take a simple query “What is the most expensive air-mail order we have received to date?” SELECT Max(lo_ordtotalprice) most_expensive_order FROM lineorderWHERE  lo_shipmode = 5; The LINEORDER table has been populated into the IM column store and since we have no alternative access paths (indexes or views) the execution plan for this query is a full table scan of the LINEORDER table. You will notice that the execution plan has a new set of keywords “IN MEMORY" in the access method description in the Operation column. These keywords indicate that the LINEORDER table has been marked for INMEMORY and we may use the IM column store in this query. What do I mean by “may use”? There are a small number of cases were we won’t use the IM column store even though the object has been marked INMEMORY. This is similar to how the keyword STORAGE is used on Exadata environments. You can confirm that the IM column store was actually used by examining the session level statistics, but more on that later. For now let's focus on how the data is accessed in the IM column store and why it’s faster to access the data in the new column format, for analytical queries, rather than the buffer cache. There are four main reasons why accessing the data in the IM column store is more efficient. 1. Access only the column data needed The IM column store only has to scan two columns – lo_shipmode and lo_ordtotalprice – to execute this query while the traditional row store or buffer cache has to scan all of the columns in each row of the LINEORDER table until it reaches both the lo_shipmode and the lo_ordtotalprice column. 2. Scan and filter data in it's compressed format When data is populated into the IM column it is automatically compressed using a new set of compression algorithms that allow WHERE clause predicates to be applied against the compressed formats. This means the volume of data scanned in the IM column store for our query will be far less than the same query in the buffer cache where it will scan the data in its uncompressed form, which could be 20X larger. 3. Prune out any unnecessary data within each column The fastest read you can execute is the read you don’t do. In the IM column store a further reduction in the amount of data accessed is possible due to the In-Memory Storage Indexes(IM storage indexes) that are automatically created and maintained on each of the columns in the IM column store. IM storage indexes allow data pruning to occur based on the filter predicates supplied in a SQL statement. An IM storage index keeps track of minimum and maximum values for each column in each of the In-Memory Compression Unit (IMCU). In our query the WHERE clause predicate is on the lo_shipmode column. The IM storage index on the lo_shipdate column is examined to determine if our specified column value 5 exist in any IMCU by comparing the value 5 to the minimum and maximum values maintained in the Storage Index. If the value 5 is outside the minimum and maximum range for an IMCU, the scan of that IMCU is avoided. For the IMCUs where the value 5 does fall within the min, max range, an additional level of data pruning is possible via the metadata dictionary created when dictionary-based compression is used on IMCU. The dictionary contains a list of the unique column values within the IMCU. Since we have an equality predicate we can easily determine if 5 is one of the distinct column values or not. The combination of the IM storage index and dictionary based pruning, enables us to only scan the necessary IMCUs. 4. Use SIMD to apply filter predicates For the IMCU that need to be scanned Oracle takes advantage of SIMD vector processing (Single Instruction processing Multiple Data values). Instead of evaluating each entry in the column one at a time, SIMD vector processing allows a set of column values to be evaluated together in a single CPU instruction. The column format used in the IM column store has been specifically designed to maximize the number of column entries that can be loaded into the vector registers on the CPU and evaluated in a single CPU instruction. SIMD vector processing enables the Oracle Database In-Memory to scan billion of rows per second per core versus the millions of rows per second per core scan rate that can be achieved in the buffer cache. I mentioned earlier in this post that in order to confirm the IM column store was used; we need to examine the session level statistics. You can monitor the session level statistics by querying the performance views v$mystat and v$statname. All of the statistics related to the In-Memory Column Store begin with IM. You can see the full list of these statistics by typing: display_name format a30 SELECT display_name FROM v$statname WHERE  display_name LIKE 'IM%'; If we check the session statistics after we execute our query the results would be as follow; SELECT Max(lo_ordtotalprice) most_expensive_order FROM lineorderWHERE lo_shipmode = 5; SELECT display_name FROM v$statname WHERE  display_name IN ('IM scan CUs columns accessed',                        'IM scan segments minmax eligible',                        'IM scan CUs pruned'); As you can see, only 2 IMCUs were accessed during the scan as the majority of the IMCUs (44) in the LINEORDER table were pruned out thanks to the storage index on the lo_shipmode column. In next weeks post I will describe how you can control which queries use the IM column store and which don't. +Maria Colgan

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  • Flash game size and distribution between asset types

    - by EyeSeeEm
    I am currently developing a Flash game and am planning on a large amount of graphics and audio assets, which has led to some questions about Flash game size. By looking at some of the popular games on NG, there seem to be many in the 5-10Mb and a few in the 10-25Mb range. I was wondering if anyone knew of other notable large-scale games and what their sizes were, and if there have been any cases of games being disadvantaged because of their size. What is a common distribution of game size between code, graphics and audio? I know this can vary strongly, but I would like to hear your thoughts on an average case for a high-quality game.

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  • Meet us at Devoxx!

    - by terrencebarr
    It’s Devoxx time again! If you’re at Devoxx, sure to check the schedule for a whole range of exciting Java and Oracle topics: JavaFX, OpenJDK, JDK 7, Java Embedded, Java EE, JCP, NetBeans, Greenfoot, as well as Java Duchess and JUG meetings. Talks, labs, BOFs, demos, and more. Embedded Java will also play a prominent role. Want to see Java on Raspberry Pi in action? Find out why what’s happening with Java in IoT (Internet of Things)? Play with NetBeans and Tinkerforge? Check out the full Devoxx schedule. Why do I think Java has the most exciting part of its future still ahead of it? Catch up with me at my talk on Wed 14:00:  ”Small, Smart, Connected: Java in the Internet of Things”. Cheers, – Terrence Filed under: Mobile & Embedded Tagged: embedded, Embedded Java, Java, Java Embedded, JavaFX, NetBeans, OpenJDK

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  • Merck Serono Gains Deep Understanding of Product Portfolio Value-Drivers, Risks, and Sales Expectations Through Forecasting Solution

    - by Melissa Centurio Lopes
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Merck Serono S.A. is the biopharmaceutical division of Merck KGaA. It offers leading brands in 150 countries to help patients with cancer, multiple sclerosis, infertility, endocrine and metabolic disorders, as well as cardiovascular diseases. Challenges: Establish a better decision-making framework for its complex, development portfolio of pharmaceutical products, where single-point estimates or expected averages of portfolio values, portfolio risks, and sales forecasts are insufficient and can be misleading Enable the company to be aware at all times of the range of possible outcomes of technical and market risks and uncertainties, such as the technical uncertainty of whether a product will produce the desired clinical outcomes, or the market-related uncertainty of whether a product will be outperformed by its competitors Solutions to Overcome the Challenges: Used Oracle Crystal Ball to devise a Monte-Carlo-based approach to better analyze and define the values and risks of the company’s development portfolio, laying the groundwork for optimized decision-making Enabled a better understanding of the range of potential values and risks to improve portfolio planning Enabled detailed analysis of the likelihood of favorable or unfavorable outcomes, such as the likelihood of whether Merck Serono can meet its sales targets planned for the next ten years with its existing product portfolio Gained the ability to take into account correlative risks, synergies and project interactions, enabling Merck Serono to better forecast what the company may achieve—for example, that there is a 70% probability of a particular sales target being met Established Monte-Carlo-based analysis using Oracle Crystal Ball as a useful element in decision-making at the board level, as the approach provides a better analysis of values and risks associated with the company’s product portfolio “Oracle Crystal Ball enables us to make Monte Carlo simulations of the potential value and sales of our development portfolio. It is a very powerful tool for gaining a thorough understanding and improved awareness of value drivers, uncertainties, and risks, along with associated probabilities.” – Riccardo Lampariello, Associate Director, Merck Serono S.A Why Oracle “We chose Oracle Crystal Ball to enable us to perform Monte Carlo analysis, which gives us a deeper understanding and improved awareness of the value drivers, uncertainties and risks of our portfolio of development projects,” said Kimber Hardy, head of valuation and analysis, Merck Serono S.A. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Click here to read the full version of the customer success story Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • Salaries in reverse engineering fields [closed]

    - by John
    I bumped into an old friend at a conference and he told me he was now a consultant doing reverse engineering. I don't have much knowledge of this particular area, but this person (that I can't manage to get in touch with now) just casually mentioned that he was earning big bucks. I was hoping someone at SO may know of the salary range that a skilled and experienced employee/freelancer may earn in this area? I can't find much information on the web - small area maybe? I dunno. Any help would be appreciated.

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  • Fan running constantly on a Dell D420 laptop

    - by Halik
    I'm running latest Ubuntu 12.04 beta on a Dell D420 laptop. The fan is spinning almost constantly - even after turning the PC off, letting it cool down, and then turning it back on, the fan will turn on after some idle time. Not to mention any CPU work. The CPU temps are normal, in range of 50-55 idle, and up to 70 with some load. It wouldn't be an issue, but the same PC running Fedora, or Arch Linux, had a much more modest fan profile - the temps were managed while you seldom heard the fan. To counter the problem, I currently use i8k tools, set manual temperature thresholds which seemed to have worked, but the i8kmon has a tendency to cycle the fan between lower and higher state within aboutin a second intervals - which is extremely annoying. As far as I can tell I did not run any special software (beside laptop-mode-tools), or any additional kernel modules when running Arch Linux and I can't tell about Fedora.

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  • Great Discussion of ETL and ELT Tooling in TDWI Linkedin Group

    - by antonio romero
    All, There’s a great discussion of ETL and ELT tooling going on in the official TDWI Linkedin group, under the heading “How Sustainable is SQL for ETL?” It delves into a wide range of topics: The pros and cons of handcoding vs. using tools to design ETL ETL (with separate transformation engines) vs. ELT (transforms in the database) and push-down solutions The future of ETL and data warehousing products A number of community members (of varying affiliations) have kept this conversation going for many months, and are learning from each other as they go. So check it out… Also, while you’re on Linkedin, join the Oracle ETL/Data Integration Linkedin group (for both OWB and ODI users), which recently passed the 2000 member mark.

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  • Typing tutor games with good playablity

    - by matt wilkie
    Are there any linux typing tutor games which are enjoyable games in their own right? I'm a computer professional, but have never learned to type properly. I also don't want my kids to pick up my bad habits! The kids are okay with TuxTyping, for a time. Something like Typing of the Dead sounds great, but is Windows only, and as far as I can tell one of a kind. I also don't want the young'uns hooked on first person shooters just yet. So are there any quality typing games for a range of ages?

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  • Omni-directional shadow mapping

    - by gridzbi
    What is a good/the best way to fill a cube map with depth values that are going to give me the least amount of trouble with floating point imprecision? To get up and running I'm just writing the raw depth to the buffer, as you can imagine it's pretty terrible - I need to to improve it, but I'm not sure how. A few tutorials on directional lights divide the depth by W and store the Z/W value in the cube map - How would I perform the depth comparison in my shadow mapping step? The nvidia article here http://http.developer.nvidia.com/GPUGems/gpugems_ch12.html appears to do something completely different and use the dot of the light vector, presumably to counter the depth precision worsening over distance? He also scales the geometry so that it fits into the range -.5 +.5 - The article looks a bit dated, though - is this technique still reasonable? Shader code http://pastebin.com/kNBzX4xU Screenshot http://imgur.com/54wFI

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  • Limit the amount a camera can pitch

    - by ChocoMan
    I'm having problems trying to limit the range my camera can pitch. Currently my camera can pitch around a model without restriction, but having a hard time trying to find the value of the degree/radian the camera is currently at after pitching. Here is what I got so far: // Moves camera with thumbstick Pitch = pController.ThumbSticks.Right.Y * MathHelper.ToRadians(speedAngleMAX); // Pitch Camera around model public void cameraPitch(float pitch) { pitchAngle = ModelLoad.camTarget - ModelLoad.CameraPos; axisPitch = Vector3.Cross(Vector3.Up, pitchAngle); // pitch constrained to model's orientation axisPitch.Normalize(); ModelLoad.CameraPos = Vector3.Transform(ModelLoad.CameraPos - ModelLoad.camTarget, Matrix.CreateFromAxisAngle(axisPitch, pitch)) + ModelLoad.camTarget; } I've tried restraining the Y-camera position of ModelLoad.CameraPos.Y, but doing so gave me some unwanted results.

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  • GLSL Bokeh using Quads and Textures

    - by Notoriousaur
    I'm trying to create a depth of field effect with bokeh sprites in GLSL. Specifically, what i would like to do is, for each pixel: See if the pixel is out of the focal range If it is, draw a quad and apply a texture to provide a bokeh sprite. This kind of implementation is seen in the Unreal Engine and by Matt Pettineo, however, both implementations are in DX11 and I'm using OpenGL. I'm a bit stuck on the drawing a quad and applying a texture bit. Does anyone know how I can do this, or provide any relevant links as to how I can do this? Thanks

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  • Spending the summer at camp Web Camp, that is

    Microsoft is sponsoring a series of Web Camps this summer. Theyre a series of free two day events being held worldwide, and Im really excited about being taking part. The camp is targeted at a broad range of developer background and experience. Content builds from 101 level introductory material to 200-300 level coverage, but we hit some advanced bits (e.g. MVC 2 features, jQuery templating, IIS 7 features, etc.) that advanced developers may not yet have seen. We start with a lap around ASP.NET...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Roll Your Own DIY Solar-Powered Security Camera Setup

    - by Jason Fitzpatrick
    If you’re looking to set up a security camera without running power or video lines, this solar-powered version combines a cheap Wi-Fi cam with a home-rolled solar setup to provide surveillance without wires. Courtesy of Reddit user CheapGuitar, the setup combines a dirt cheap off-brand Wi-Fi security camera, a Tupperware container spray painted black, some old camping solar panels, and a battery into a security camera that checks in as long as it’s in range of a Wi-Fi router or repeater. Hit up the link below to check out the build guide. Solar Powered Camera [via Hack A Day] HTG Explains: What Is Windows RT & What Does It Mean To Me? HTG Explains: How Windows 8′s Secure Boot Feature Works & What It Means for Linux Hack Your Kindle for Easy Font Customization

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