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  • The JRockit Book is Now in Print!

    - by Marcus Hirt
    Yes. I know. It’s been in print for some days already, but I haven’t found time to write about it until now. The book is a good guide for JVM’s in general, and for JRockit in particular. If you’ve ever wondered how the innards of the Java Virtual Machine works, or how to use the JRockit Mission Control to hunt down problems in your Java applications, this book is for you. The book is written for intermediate to advanced Java Developers. These are the chapters: Getting Started Adaptive Code Generation Adaptive Memory Management Threads and Synchronization Benchmarking and Tuning JRockit Mission Control The Management Console The Runtime Analyzer The Flight Recorder The Memory Leak Detector JRCMD Using the JRockit Management APIs JRockit Virtual Edition Appendix A: Bibliography Appendix B: Glossary Index The book is 588 pages long. For more information about the book, see the book page at Packt.

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  • [News] Les performances de VS 2010 RC

    Si nous avons tous pu nous rendre compte des am?liorations de performance de VS 2010 RC, aucun test chiffr? n'avait encore ?t? publi?. Kirill Osenkov, membre de l'?quipe QA de Visual Studio nous donne quelques ?l?ments ? travers son dernier billet. "we've made tremendous progress since Beta 2 and have brought the product into a much better state: it is much faster, more responsive, takes up much less memory and we also hope to have eliminated all major known memory leaks". Tr?s int?ressant et surtout rassurant pour la suite.

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  • A Technique for Performing Cross-host Upgrades to FMW 11gR1

    - by reza.shafii
    The main tool used for the upgrade of iAS 10g mid-tier (data not stored in 10g meta-data repository schemas) environments to Fusion Middleware (FMW) 11gR1 is the FMW Upgrade Assistant (UA). This tool performs what we call an out-of-place upgrade which in a nut-shell means the following: Upgrade is performed by pointing the UA to a 10g source topology as well as an 11g destination topology. The destination topology must be created, using the standard FMW 11g installation and configuration process, prior to the execution of the UA. The UA carries over all of the required changes from the source environment to the destination. This approach has a number of advantages rooted in the fact that the source environment - which is presumably working well and serving its needs - is not disturbed during the upgrade process as the UA only performs read-only operations on it. The UA today can only perform such out-of-place upgrades when the source and destination topologies reside on the same machine. This can sometimes be an issue when the host on which the iAS 10g environment is installed is running at full capacity and installing new hardware for the purpose of the upgrade (in most cases what would be needed is extra memory) is completely infeasible. In such cases, upgrade across a different host is still possible by using the following technique: Backup your source environment and restore it on to a target machine. The backup and restore procedures for the iAS 10.1.2 components are described within this section of the release's Administration Guide. As described in the docs, the Oracle Application Server Backup and Recovery Tool provides capabilities for backing up the installation on one machine and restoring it on another which is exactly what you want to do for the purpose of cross host upgrade. Ensure that the restored environment on your target host is fully functional. Go through the upgrade steps on the target machine to perform the out-of-place upgrade using the UA. Although this process does add another big step to the overall upgrade process, it does make it possible to perform a cross-host upgrade to 11gR1 when necessary. The easiest approach would of course be to find a way of ensuring that the required hardware capacity for upgrade is available on the original 10g host. Using techniques such as scheduling the upgrade at low traffic times and/or temporarily stopping other processes running on the machine to clear up some memory might provide you the sufficient memory needed to perform the out-of-place upgrade and save you the need for using the backup/restore technique I have described in this post.

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  • composite-video-to-usb adaptor

    - by sawa
    I bought a composite-video-to-usb adaptor. I want to stream video game in ubuntu. How can I do that? My environment: Monoprice USB Video and Audio Grabber Ubuntu 11.04 The relevant output of lsusb: Bus 001 Device 011: ID 0572:262a Conexant Systems (Rockwell), Inc. The relevant output of sudo lshw: *-usb:0 description: USB Controller product: 82801JI (ICH10 Family) USB UHCI Controller #4 vendor: Intel Corporation physical id: 1a bus info: pci@0000:00:1a.0 version: 00 width: 32 bits clock: 33MHz capabilities: uhci bus_master cap_list configuration: driver=uhci_hcd latency=0 resources: irq:16 ioport:f0e0(size=32) *-usb:1 description: USB Controller product: 82801JI (ICH10 Family) USB UHCI Controller #5 vendor: Intel Corporation physical id: 1a.1 bus info: pci@0000:00:1a.1 version: 00 width: 32 bits clock: 33MHz capabilities: uhci bus_master cap_list configuration: driver=uhci_hcd latency=0 resources: irq:21 ioport:f0c0(size=32) *-usb:2 description: USB Controller product: 82801JI (ICH10 Family) USB UHCI Controller #6 vendor: Intel Corporation physical id: 1a.2 bus info: pci@0000:00:1a.2 version: 00 width: 32 bits clock: 33MHz capabilities: uhci bus_master cap_list configuration: driver=uhci_hcd latency=0 resources: irq:18 ioport:f0a0(size=32) *-usb:3 description: USB Controller product: 82801JI (ICH10 Family) USB2 EHCI Controller #2 vendor: Intel Corporation physical id: 1a.7 bus info: pci@0000:00:1a.7 version: 00 width: 32 bits clock: 33MHz capabilities: pm debug ehci bus_master cap_list configuration: driver=ehci_hcd latency=0 resources: irq:18 memory:e0525c00-e0525fff *-multimedia description: Audio device product: 82801JI (ICH10 Family) HD Audio Controller vendor: Intel Corporation physical id: 1b bus info: pci@0000:00:1b.0 version: 00 width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list configuration: driver=HDA Intel latency=0 resources: irq:43 memory:e0520000-e0523fff *-usb:4 description: USB Controller product: 82801JI (ICH10 Family) USB UHCI Controller #1 vendor: Intel Corporation physical id: 1d bus info: pci@0000:00:1d.0 version: 00 width: 32 bits clock: 33MHz capabilities: uhci bus_master cap_list configuration: driver=uhci_hcd latency=0 resources: irq:23 ioport:f080(size=32) *-usb:5 description: USB Controller product: 82801JI (ICH10 Family) USB UHCI Controller #2 vendor: Intel Corporation physical id: 1d.1 bus info: pci@0000:00:1d.1 version: 00 width: 32 bits clock: 33MHz capabilities: uhci bus_master cap_list configuration: driver=uhci_hcd latency=0 resources: irq:19 ioport:f060(size=32) *-usb:6 description: USB Controller product: 82801JI (ICH10 Family) USB UHCI Controller #3 vendor: Intel Corporation physical id: 1d.2 bus info: pci@0000:00:1d.2 version: 00 width: 32 bits clock: 33MHz capabilities: uhci bus_master cap_list configuration: driver=uhci_hcd latency=0 resources: irq:18 ioport:f040(size=32) *-usb:7 description: USB Controller product: 82801JI (ICH10 Family) USB2 EHCI Controller #1 vendor: Intel Corporation physical id: 1d.7 bus info: pci@0000:00:1d.7 version: 00 width: 32 bits clock: 33MHz capabilities: pm debug ehci bus_master cap_list configuration: driver=ehci_hcd latency=0 resources: irq:23 memory:e0525800-e0525bff The relevant output of dmesg: [18953.220035] usb 1-1: new high speed USB device using ehci_hcd and address 6 [19964.761076] Linux video capture interface: v2.00 [19964.767112] usbcore: registered new interface driver uvcvideo [19964.767115] USB Video Class driver (v1.0.0)

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  • SQL Server 2008 Compression

    - by Peter Larsson
    Hi! Today I am going to talk about compression in SQL Server 2008. The data warehouse I currently design and develop holds historical data back to 1973. The data warehouse will have an other blog post laster due to it's complexity. However, the server has 60GB of memory (of which 48 is dedicated to SQL Server service), so all data didn't fit in memory and the SAN is not the fastest one around. So I decided to give compression a go, since we use Enterprise Edition anyway. This is the code I use to compress all tables with PAGE compression. DECLARE @SQL VARCHAR(MAX)   DECLARE curTables CURSOR FOR             SELECT 'ALTER TABLE ' + QUOTENAME(OBJECT_SCHEMA_NAME(object_id))                     + '.' + QUOTENAME(OBJECT_NAME(object_id))                     + ' REBUILD PARTITION = ALL WITH (DATA_COMPRESSION = PAGE)'             FROM    sys.tables   OPEN    curTables   FETCH   NEXT FROM    curTables INTO    @SQL   WHILE @@FETCH_STATUS = 0     BEGIN         IF @SQL IS NOT NULL             RAISERROR(@SQL, 10, 1) WITH NOWAIT           FETCH   NEXT         FROM    curTables         INTO    @SQL     END   CLOSE       curTables DEALLOCATE  curTables Copy and paste the result to a new code window and execute the statements. One thing I noticed when doing this, is that the database grows with the same size as the table. If the database cannot grow this size, the operation fails. For me, I first ended up with orphaned connection. Not good. And this is the code I use to create the index compression statements DECLARE @SQL VARCHAR(MAX)   DECLARE curIndexes CURSOR FOR             SELECT      'ALTER INDEX ' + QUOTENAME(name)                         + ' ON '                         + QUOTENAME(OBJECT_SCHEMA_NAME(object_id))                         + '.'                         + QUOTENAME(OBJECT_NAME(object_id))                         + ' REBUILD PARTITION = ALL WITH (FILLFACTOR = 100, DATA_COMPRESSION = PAGE)'             FROM        sys.indexes             WHERE       OBJECTPROPERTY(object_id, 'IsMSShipped') = 0                         AND OBJECTPROPERTY(object_id, 'IsTable') = 1             ORDER BY    CASE type_desc                             WHEN 'CLUSTERED' THEN 1                             ELSE 2                         END   OPEN    curIndexes   FETCH   NEXT FROM    curIndexes INTO    @SQL   WHILE @@FETCH_STATUS = 0     BEGIN         IF @SQL IS NOT NULL             RAISERROR(@SQL, 10, 1) WITH NOWAIT           FETCH   NEXT         FROM    curIndexes         INTO    @SQL     END   CLOSE       curIndexes DEALLOCATE  curIndexes When this was done, I noticed that the 90GB database now only was 17GB. And most important, complete database now could reside in memory! After this I took care of the administrative tasks, backups. Here I copied the code from Management Studio because I didn't want to give too much time for this. The code looks like (notice the compression option). BACKUP DATABASE [Yoda] TO              DISK = N'D:\Fileshare\Backup\Yoda.bak' WITH            NOFORMAT,                 INIT,                 NAME = N'Yoda - Full Database Backup',                 SKIP,                 NOREWIND,                 NOUNLOAD,                 COMPRESSION,                 STATS = 10,                 CHECKSUM GO   DECLARE @BackupSetID INT   SELECT  @BackupSetID = Position FROM    msdb..backupset WHERE   database_name = N'Yoda'         AND backup_set_id =(SELECT MAX(backup_set_id) FROM msdb..backupset WHERE database_name = N'Yoda')   IF @BackupSetID IS NULL     RAISERROR(N'Verify failed. Backup information for database ''Yoda'' not found.', 16, 1)   RESTORE VERIFYONLY FROM    DISK = N'D:\Fileshare\Backup\Yoda.bak' WITH    FILE = @BackupSetID,         NOUNLOAD,         NOREWIND GO After running the backup, the file size was even more reduced due to the zip-like compression algorithm used in SQL Server 2008. The file size? Only 9 GB. //Peso

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  • texture mapping with lib3ds and SOIL help

    - by Adam West
    I'm having trouble with my project for loading a texture map onto a model. Any insight into what is going wrong with my code is fantastic. Right now the code only renders a teapot which I have assinged after creating it in 3DS Max. 3dsloader.cpp #include "3dsloader.h" Object::Object(std:: string filename) { m_TotalFaces = 0; m_model = lib3ds_file_load(filename.c_str()); // If loading the model failed, we throw an exception if(!m_model) { throw strcat("Unable to load ", filename.c_str()); } // set properties of texture coordinate generation for both x and y coordinates glTexGeni(GL_S, GL_TEXTURE_GEN_MODE, GL_EYE_LINEAR); glTexGeni(GL_T, GL_TEXTURE_GEN_MODE, GL_EYE_LINEAR); // if not already enabled, enable texture generation if(! glIsEnabled(GL_TEXTURE_GEN_S)) glEnable(GL_TEXTURE_GEN_S); if(! glIsEnabled(GL_TEXTURE_GEN_T)) glEnable(GL_TEXTURE_GEN_T); } Object::~Object() { if(m_model) // if the file isn't freed yet lib3ds_file_free(m_model); //free up memory glDisable(GL_TEXTURE_GEN_S); glDisable(GL_TEXTURE_GEN_T); } void Object::GetFaces() { m_TotalFaces = 0; Lib3dsMesh * mesh; // Loop through every mesh. for(mesh = m_model->meshes;mesh != NULL;mesh = mesh->next) { // Add the number of faces this mesh has to the total number of faces. m_TotalFaces += mesh->faces; } } void Object::CreateVBO() { assert(m_model != NULL); // Calculate the number of faces we have in total GetFaces(); // Allocate memory for our vertices and normals Lib3dsVector * vertices = new Lib3dsVector[m_TotalFaces * 3]; Lib3dsVector * normals = new Lib3dsVector[m_TotalFaces * 3]; Lib3dsTexel* texCoords = new Lib3dsTexel[m_TotalFaces * 3]; Lib3dsMesh * mesh; unsigned int FinishedFaces = 0; // Loop through all the meshes for(mesh = m_model->meshes;mesh != NULL;mesh = mesh->next) { lib3ds_mesh_calculate_normals(mesh, &normals[FinishedFaces*3]); // Loop through every face for(unsigned int cur_face = 0; cur_face < mesh->faces;cur_face++) { Lib3dsFace * face = &mesh->faceL[cur_face]; for(unsigned int i = 0;i < 3;i++) { memcpy(&texCoords[FinishedFaces*3 + i], mesh->texelL[face->points[ i ]], sizeof(Lib3dsTexel)); memcpy(&vertices[FinishedFaces*3 + i], mesh->pointL[face->points[ i ]].pos, sizeof(Lib3dsVector)); } FinishedFaces++; } } // Generate a Vertex Buffer Object and store it with our vertices glGenBuffers(1, &m_VertexVBO); glBindBuffer(GL_ARRAY_BUFFER, m_VertexVBO); glBufferData(GL_ARRAY_BUFFER, sizeof(Lib3dsVector) * 3 * m_TotalFaces, vertices, GL_STATIC_DRAW); // Generate another Vertex Buffer Object and store the normals in it glGenBuffers(1, &m_NormalVBO); glBindBuffer(GL_ARRAY_BUFFER, m_NormalVBO); glBufferData(GL_ARRAY_BUFFER, sizeof(Lib3dsVector) * 3 * m_TotalFaces, normals, GL_STATIC_DRAW); // Generate a third VBO and store the texture coordinates in it. glGenBuffers(1, &m_TexCoordVBO); glBindBuffer(GL_ARRAY_BUFFER, m_TexCoordVBO); glBufferData(GL_ARRAY_BUFFER, sizeof(Lib3dsTexel) * 3 * m_TotalFaces, texCoords, GL_STATIC_DRAW); // Clean up our allocated memory delete vertices; delete normals; delete texCoords; // We no longer need lib3ds lib3ds_file_free(m_model); m_model = NULL; } void Object::applyTexture(const char*texfilename) { float imageWidth; float imageHeight; glGenTextures(1, & textureObject); // allocate memory for one texture textureObject = SOIL_load_OGL_texture(texfilename,SOIL_LOAD_AUTO,SOIL_CREATE_NEW_ID,SOIL_FLAG_MIPMAPS); glPixelStorei(GL_UNPACK_ALIGNMENT,1); glBindTexture(GL_TEXTURE_2D, textureObject); // use our newest texture glGetTexLevelParameterfv(GL_TEXTURE_2D,0,GL_TEXTURE_WIDTH,&imageWidth); glGetTexLevelParameterfv(GL_TEXTURE_2D,0,GL_TEXTURE_HEIGHT,&imageHeight); glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_LINEAR); // give the best result for texture magnification glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_LINEAR); //give the best result for texture minification glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_WRAP_S, GL_CLAMP); // don't repeat texture glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_CLAMP); // don't repeat textureglTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_WRAP_T, GL_CLAMP); // don't repeat texture glTexEnvf(GL_TEXTURE_ENV, GL_TEXTURE_ENV_MODE,GL_MODULATE); glTexImage2D(GL_TEXTURE_2D,0,GL_RGB,imageWidth,imageHeight,0,GL_RGB,GL_UNSIGNED_BYTE,& textureObject); } void Object::Draw() const { // Enable vertex, normal and texture-coordinate arrays. glEnableClientState(GL_VERTEX_ARRAY); glEnableClientState(GL_NORMAL_ARRAY); glEnableClientState(GL_TEXTURE_COORD_ARRAY); // Bind the VBO with the normals. glBindBuffer(GL_ARRAY_BUFFER, m_NormalVBO); // The pointer for the normals is NULL which means that OpenGL will use the currently bound VBO. glNormalPointer(GL_FLOAT, 0, NULL); glBindBuffer(GL_ARRAY_BUFFER, m_TexCoordVBO); glTexCoordPointer(2, GL_FLOAT, 0, NULL); glBindBuffer(GL_ARRAY_BUFFER, m_VertexVBO); glVertexPointer(3, GL_FLOAT, 0, NULL); // Render the triangles. glDrawArrays(GL_TRIANGLES, 0, m_TotalFaces * 3); glDisableClientState(GL_VERTEX_ARRAY); glDisableClientState(GL_NORMAL_ARRAY); glDisableClientState(GL_TEXTURE_COORD_ARRAY); } 3dsloader.h #include "main.h" #include "lib3ds/file.h" #include "lib3ds/mesh.h" #include "lib3ds/material.h" class Object { public: Object(std:: string filename); virtual ~Object(); virtual void Draw() const; virtual void CreateVBO(); void applyTexture(const char*texfilename); protected: void GetFaces(); unsigned int m_TotalFaces; Lib3dsFile * m_model; Lib3dsMesh* Mesh; GLuint textureObject; GLuint m_VertexVBO, m_NormalVBO, m_TexCoordVBO; }; Called in the main cpp file with: VBO,apply texture and draw (pretty simple, how ironic) and thats it, please help me forum :)

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  • In MATLAB, how can 'preallocating' cell arrays improve performance?

    - by Alex McMurray
    I was reading this article on MathWorks about improving MATLAB performance and you will notice that one of the first suggestions is to preallocate arrays, which makes sense. But it also says that preallocating Cell arrays (that is arrays which may contain different, unknown datatypes) will improve performance. But how will doing so improve performance because the datatypes are unknown so it doesn't know how much contiguous memory it will require even if it knows the shape of the cell array, and therefore it can't preallocate the memory surely? So how does this result in any improvement in performance? I apologise if this question is better suited for StackOverflow than Programmers but it isn't asking about a specific problem so I thought it fit better here, please let me know if I am mistaken though. Any explanation would be greatly appreciated :)

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  • Back in Atlanta! Wed, Feb 9 2011

    - by KKline
    I always enjoy spending time with my friends from Atlanta, as well as meeting folks and making new friends. If you live in the Atlanta area, I hope you'll join me on the evening of Wednesday, February 9th, 2011. Details are at the Atlanta SQL Server user group website . It's common knowledge that I have a terrible memory for many things. However, one of the few things that my memory is usually really good at is remember names & faces (and remembering stories, but that is another story as well)....(read more)

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  • What are the alternatives to "overriding a method" when using composition instead of inheritance?

    - by Sebastien Diot
    If we should favor composition over inheritance, the data part of it is clear, at least for me. What I don't have a clear solution to is how overwriting methods, or simply implementing them if they are defined in a pure virtual form, should be implemented. An obvious way is to wrap the instance representing the base-class into the instance representing the sub-class. But the major downsides of this are that if you have say 10 methods, and you want to override a single one, you still have to delegate every other methods anyway. And if there were several layers of inheritance, you have now several layers of wrapping, which becomes less and less efficient. Also, this only solve the problem of the object "client"; when another object calls the top wrapper, things happen like in inheritance. But when a method of the deepest instance, the base class, calls it's own methods that have been wrapped and modified, the wrapping has no effect: the call is performed by it's own method, instead of by the highest wrapper. One extreme alternative that would solve those problems would be to have one instance per method. You only wrap methods that you want to overwrite, so there is no pointless delegation. But now you end up with an incredible amount of classes and object instance, which will have a negative effect on memory usage, and this will require a lot more coding too. So, are there alternatives (preferably alternatives that can be used in Java), that: Do not result in many levels of pointless delegation without any changes. Make sure that not only the client of an object, but also all the code of the object itself, is aware of which implementation of method should be called. Does not result in an explosion of classes and instances. Ideally puts the extra memory overhead that is required at the "class"/"particular composition" level (static if you will), rather than having every object pay the memory overhead of composition. My feeling tells me that the instance representing the base class should be at the "top" of the stack/layers so it receives calls directly, and can process them directly too if they are not overwritten. But I don't know how to do it that way.

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  • Tuning Red Gate: #2 of Many

    - by Grant Fritchey
    In the last installment, I used the SQL Monitor tool to get a snapshot view of the current state of the servers at Red Gate that are giving us trouble. That snapshot suggested some areas where I should focus some time, primarily in which queries were being called most frequently or were running the longest. But, you don't want to just run off & start tuning queries. Remember, the foundation for query tuning is the server itself. So, I want to be sure I'm not looking at some major hardware or configuration issues that I need to address first. Rather than look at the current status of the server, I'm going to look at historical data. Clicking on the Analysis tab of SQL Monitor I get a whole list of counters that I can look at. More importantly, I can look at them over a period of time. Even more importantly, I can compare past periods with current periods to see if we're looking at a progressive issue or not. There are counters here that will give me an indication of load, and there are counters here that will tell me specifics about that load. First, I want to just look at the load to understand where the pain points might be. Trying to drill down before you have detailed information is just bad planning. First thing I'm going to check is the CPU, just to see what's up there. I have two servers I'm interested in, so I'll show you both: Looking at the last 30 days for both servers, well, let's just say that the first server is about what I would expect. It has an average baseline behavior with occasional, regular, peaks. This looks like a system with a fairly steady & predictable load that probably has a nightly batch process that spikes the processor. In short, normal stuff. The points there where the CPU drops radically. that might be worth investigating further because something changed the processing on this system a lot. But the first server. It's all over the place. There's no steady CPU behavior at all. It's spike high for long periods of time. It's up, it's down. I'm really going to have to spend time looking at CPU issues on this server to try to figure out what's up. It might be other processes being shared on the server, it might be something else. Either way, I'm going to have to spend time evaluating this CPU, especially those peeks about a week ago. Looking at the Pages/sec, again, just a measure of load, I see that there are some peaks on the rg-sql02 server, but over all, it looks like a fairly standard load. Plus, the peaks are only up to 550 pages/sec. Remember, this isn't a performance measure, but just a load measurement, but from this, I don't think we're looking at major memory issues, but I may want to correlate these counters with the CPU counters. Again, the other server looks like there's stuff going on. The load is not at all consistent. In fact there was a point earlier in the year that looks pretty severe. Plus the spikes here are twice the size of the other system. We've got a lot more load going on here and I will probably need to drill down on memory usage on this server. Taking a look at the disk transfers/sec the load on both systems seems to roughly correspond to the other load indicators. Notice that drop right in the middle of the graph for rg-sql02. I wonder if the office was closed over that period or a system was down for maintenance. If I saw spikes in memory or disk that corresponded to the drip in CPU, you can assume something was using those other resources and causing a drop, but when everything goes down, it just means that the system isn't gettting used. The disk on the rg-sql01 system isn't spiking exactly the same way as the memory & cpu, so there's a good chance (chance mind you) that any performance issues might not be disk related. However, notice that huge jump at the beginning of the month. Several disks were used more than they were for the rest of the month. That's the load on the server. What about the load on SQL Server itself? Next time.

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  • Arrays for a heightmap tile-based map

    - by JPiolho
    I'm making a game that uses a map which have tiles, corners and borders. Here's a graphical representation: I've managed to store tiles and corners in memory but I'm having troubles to get borders structured. For the tiles, I have a [Map Width * Map Height] sized array. For corners I have [(Map Width + 1) * (Map Height + 1)] sized array. I've already made up the math needed to access corners from a tile, but I can't figure out how to store and access the borders from a single array. Tiles store the type (and other game logic variables) and via the array index I can get the X, Y. Via this tile position it is possible to get the array index of the corners (which store the Z index). The borders will store a game object and accessing corners from only border info would be also required. If someone even has a better way to store these for better memory and performance I would gladly accept that. EDIT: Using in C# and Javascript.

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  • Virtual Box - How to open a .VDI Virtual Machine

    - by [email protected]
    TUESDAY, APRIL 27, 2010 How to open a .VDI Virtual MachineSometimes someone share with us one Virtual machine with extension .VDI, after that we can wonder how and what with?Well the answer is... It is a VirtualBox - Virtual Machine. If you have not downloaded it you can do this easily just follow this post.http://listeningoracle.blogspot.com/2010/04/que-es-virtualbox.htmlorhttp://oracleoforacle.wordpress.com/2010/04/14/ques-es-virtualbox/Ok, Now with VirtualBox Installed open it and proceed with the following:1. Open the Virtual File Manager.2. Click on Actions ? Add and select the .VDI fileClick "Ok"3. Now we can register the new Virtual Machine - Click New, and Click Next4. Write down a Name for the virtual Machine a proceed to select a Operating System and Version. (In this case it is a Linux (Oracle Enterprise Linux or RedHat)Click Next5. Select the memory amount base for the Virtual Machine(Minimal 1280 for our case) - Click Next6. Select the Disk 11GR2_OEL5_32GB.vdi it was added in the virtual media manager in the step 2.Dont forget let selected Boot hard Disk (Primary Master) . Given it is the only disk assigned to the virtual machine.Click Next7. Click Finish8. This step is important. Once you have click on the settings Button. 9. On General option click the advanced settings. Here you must change the default directory to save your Snapshots; my recommendation set it to the same directory where the .Vdi file is. Otherwise you can have the same Virtual Machine and its snapshots in different paths.10. Now Click on System, and proceed to assign the correct memory (If you did not before)Note: Enable "Enable IO APIC" if you are planning to assign more than one CPU to the Virtual Machine.Define the processors for the Virtual machine. If you processor is dual core choose 211. Select the video memory amount you want to assign to the Virtual Machine12. Associated more storage disk to the Virtual machine, if you have more VDI files.(Not our case)The disk must be selected as IDE Primary Master.13. Well you can verify the other options, but with these changes you will be able to start the VM.Note: Sometime the VM owner may share some instructions, if so follow his instructions.14. Finally Start the Virtual Machine (Click > Start)

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  • What You Said: Your Tech Spring Cleaning Routines

    - by Jason Fitzpatrick
    Earlier this week we asked you to share your tech spring cleaning routine; now we’re back to highlight your tips, tricks, and techniques. What tools rule the spring cleaning roost? Compressed air and microfiber cloths are the tools of choice by a wide margin. D^Angelo highlights the software and physicals tools he uses: Backup all the important stuff just to be safe (c:/, my documents, desktop, drivers) Cleaning the dust with some office depot compressed air, avoiding spinning the fans. Use a brush for that small places (fans, memory, capacitors, etc). Use some dielectric spray on the motherboard. If the pc turned on without problems its time to use ccleaner, Check if there is a toolbar installed or another unusual software that I don’t want. Run my antivirus software or malwarebytes; some defraggler maybe. Make Your Own Windows 8 Start Button with Zero Memory Usage Reader Request: How To Repair Blurry Photos HTG Explains: What Can You Find in an Email Header?

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  • The Future of the Database Begins

    - by Thanos Terentes Printzios
    For more than three-and-a-half decades, Oracle has defined database innovation. With our leading technologies, Oracle customers have been able to out-think and out-perform their competition. Soon organizations will be able to do that even faster.With the introduction of the Oracle Database In-Memory Option it will be possible to perform TRUE real-time, ad-hoc, analytic queries on your organization’s business data as it exists at that moment and receive the results immediately. Imagine your sales team being able to know the total sales they have made as of right now -- not last week, or even last night, but right now.Imagine innovation that accelerates business decision making to real-time speeds. That's the power of Oracle Database In-Memory.Watch Larry Ellison to find out what this and the other new features of Oracle Database 12c will do for you. Register Now for the Live Webcast

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  • Better drivers for SiS 650/740 integrated video?

    - by Bart van Heukelom
    I installed Xubuntu 10.10 on an old box today and the graphical performance is horrid. According to lspci, the video card is this: 01:00.0 VGA compatible controller: Silicon Integrated Systems [SiS] 65x/M650/740 PCI/AGP VGA Display Adapter (prog-if 00 [VGA controller]) Subsystem: ASUSTeK Computer Inc. Device 8081 Flags: 66MHz, medium devsel, IRQ 11 BIST result: 00 Memory at f0000000 (32-bit, prefetchable) [size=128M] Memory at e7800000 (32-bit, non-prefetchable) [size=128K] I/O ports at d800 [size=128] Expansion ROM at <unassigned> [disabled] Capabilities: <access denied> Kernel modules: sisfb Is there a way to make it faster? Alternative drivers? The additional drivers tool shows nothing. I'm specifically interested in improving Java's Java2D rendering speed, because I'll be running a "stat screen" written in that language on it.

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  • June Edition - Oracle Database Insider

    - by jgelhaus
    Now available.  The June edition of the Oracle Database Insider includes: NEWS June 10: Oracle CEO Larry Ellison Live on the Future of Database Performance At a live webcast on June 10 at Oracle’s headquarters, Oracle CEO Larry Ellison is expected to announce the upcoming availability of Oracle Database In-Memory, which dramatically accelerates business decision-making by processing analytical queries in memory without requiring any changes to existing applications. Read More New Study Confirms Capital Expenditure Savings with Oracle Multitenant A new study finds that Oracle Multitenant, an option of Oracle Database 12c, drives significant savings in capital expenditures by enabling the consolidation of a large number of databases on the same number or fewer hardware resources. Read More VIDEO Oracle Database 12c: Multitenant Environment with Tom Kyte Tom Kyte discusses Oracle Multitenant, followed by a demo of the multitenant architecture that includes moving a pluggable database (PDB) from one multitenant container database to another, cloning a PDB, and creating a new PDB.  and much more.

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  • Object-Oriented Operating System

    - by nmagerko
    As I thought about writing an operating system, I came across a point that I really couldn't figure out on my own: Can an operating system truly be written in an Object-Oriented Programming (OOP) Language? Being that these types of languages do not allow for direct accessing of memory, wouldn't this make it impossible for a developer to write an entire operating system using only an OOP Language? Take, for example, the Android Operating System that runs many phones and some tablets in use around the world. I believe that this operating system uses only Java, an Object-Oriented language. In Java, I have been unsuccessful in trying to point at and manipulate a specific memory address that the run-time environment (JRE) has not assigned to my program implicitly. In C, C++, and other non-OOP languages, I can do this in a few lines. So this makes me question whether or not an operating system can be written in an OOP, especially Java. Any counterexamples or other information is appreciated.

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  • Pre order Nokia Lumia 900 from AT&T for $99.99 and Walmart for $49.99

    - by Gopinath
    Nokia Lumia 900, the flagship Windows Phone OS smartphone from Nokia is available for pre-order from AT&T Stores. With a two year contract, you can grab the phone by paying $99.99 online and they are expected to ship a day or two earlier than their official launch in AT&T stores across US. Walmart in an aggressive move, is selling Nokia Lumia 900 for just $49.99 with a two year contract. So you save $50 more. Earlier in January of this year, Nokia unveiled its plans of Lumia 900 launch exclusively for American market. Nokia Lumia 900 features a 4.3 inch Clear Black display, sporting a resolution of 800 x 480 pixels, 1.4 GHz Snapdragon processor, Windows Phone 7.5 (Mango) OS, 8 megapixel rear camera with f2.2/28mm Carl Zeiss lens and dual LED flash, auto-focus and HD (720p) video recording, 1 megapixel front-facing camera for video calls, 512 MB RAM, 16 GB internal memory, 14.5 GB user memory and more. Pre-order Nokia Lumia 900 from AT&T and Walmart

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  • Does an onboard video affect the X windows configuration?

    - by Timothy
    Does the onboard video on the motherboard affect the X windows configuration? My system has onboard and pcie video. The onboard video is a NVIDIA GeForce 7025 GPU, On Board Graphic Max. Memory Share Up to 512MB(Under OS By Turbo Cache). I have a pcie dual head video card installed with two monitors. The video card is a GeForce 8400 GS, with 512mb memory. When installing Ubuntu 12.04, only one monitor worked. When pulling up system settings- Displays it shows a laptop. This is a desktop pc. I did get both monitors to work using nvidia using twinview -- A complicated process! When checking nvidia now it shows the monitors disabled. The Nvidia X server setting does show the GPU and all the information. I was thinking it's seeing the onboard video on the motherboard. Why else would it show laptop?

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  • Hyper-V for Developers - presentation from NxtGenUG Oxford (including link to more info on Dynamic M

    - by Liam Westley
    Many thanks to Richard Hopton and the NxtGenUG guys in Oxford for inviting me to talk on Hyper-V for Developers last night, and for Research Machines for providing the venue.  It was great to have developers not yet using Hyper-V who were really interested in some of the finer points to help them with specific requirements. For those wanting to follow up on the topics I covered, you can download the presentation deck as either PDF (with speaker notes included) or as the original PowerPoint slidedeck,   http://www.tigernews.co.uk/blog-twickers/nxtgenugoxford/HyperV4Devs.pdf   http://www.tigernews.co.uk/blog-twickers/nxtgenugoxford/HyperV4Devs.zip I also mentioned the new feature, Dynamic Memory, coming in Service Pack 1, had been presented in a session at TechEd 2010 by Ben Armstrong, and you can download his presentation from here,   http://blogs.msdn.com/b/virtual_pc_guy/archive/2010/06/08/talking-about-dynamic-memory.aspx

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  • How to reload UBUNTU11.04 again which is hidden in the hard disk

    - by Yaskadeva
    I had installed Ubuntu 11.04 as another OS ( not inside Windows). means every time i used to get a Ubuntu screen and i can select Ubuntu or windows. but once i formatted my windows. after that the 38 gb memory which was used under Ubuntu is missing means the ubuntu is there and as it is EXT type windows is not able to access that. and i am not able to boot into it.I need ubuntu i can install new version but my memory is being wasted i do not kno what to do. pl reply me asap.

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  • Solving Big Problems with Oracle R Enterprise, Part II

    - by dbayard
    Part II – Solving Big Problems with Oracle R Enterprise In the first post in this series (see https://blogs.oracle.com/R/entry/solving_big_problems_with_oracle), we showed how you can use R to perform historical rate of return calculations against investment data sourced from a spreadsheet.  We demonstrated the calculations against sample data for a small set of accounts.  While this worked fine, in the real-world the problem is much bigger because the amount of data is much bigger.  So much bigger that our approach in the previous post won’t scale to meet the real-world needs. From our previous post, here are the challenges we need to conquer: The actual data that needs to be used lives in a database, not in a spreadsheet The actual data is much, much bigger- too big to fit into the normal R memory space and too big to want to move across the network The overall process needs to run fast- much faster than a single processor The actual data needs to be kept secured- another reason to not want to move it from the database and across the network And the process of calculating the IRR needs to be integrated together with other database ETL activities, so that IRR’s can be calculated as part of the data warehouse refresh processes In this post, we will show how we moved from sample data environment to working with full-scale data.  This post is based on actual work we did for a financial services customer during a recent proof-of-concept. Getting started with the Database At this point, we have some sample data and our IRR function.  We were at a similar point in our customer proof-of-concept exercise- we had sample data but we did not have the full customer data yet.  So our database was empty.  But, this was easily rectified by leveraging the transparency features of Oracle R Enterprise (see https://blogs.oracle.com/R/entry/analyzing_big_data_using_the).  The following code shows how we took our sample data SimpleMWRRData and easily turned it into a new Oracle database table called IRR_DATA via ore.create().  The code also shows how we can access the database table IRR_DATA as if it was a normal R data.frame named IRR_DATA. If we go to sql*plus, we can also check out our new IRR_DATA table: At this point, we now have our sample data loaded in the database as a normal Oracle table called IRR_DATA.  So, we now proceeded to test our R function working with database data. As our first test, we retrieved the data from a single account from the IRR_DATA table, pull it into local R memory, then call our IRR function.  This worked.  No SQL coding required! Going from Crawling to Walking Now that we have shown using our R code with database-resident data for a single account, we wanted to experiment with doing this for multiple accounts.  In other words, we wanted to implement the split-apply-combine technique we discussed in our first post in this series.  Fortunately, Oracle R Enterprise provides a very scalable way to do this with a function called ore.groupApply().  You can read more about ore.groupApply() here: https://blogs.oracle.com/R/entry/analyzing_big_data_using_the1 Here is an example of how we ask ORE to take our IRR_DATA table in the database, split it by the ACCOUNT column, apply a function that calls our SimpleMWRR() calculation, and then combine the results. (If you are following along at home, be sure to have installed our myIRR package on your database server via  “R CMD INSTALL myIRR”). The interesting thing about ore.groupApply is that the calculation is not actually performed in my desktop R environment from which I am running.  What actually happens is that ore.groupApply uses the Oracle database to perform the work.  And the Oracle database is what actually splits the IRR_DATA table by ACCOUNT.  Then the Oracle database takes the data for each account and sends it to an embedded R engine running on the database server to apply our R function.  Then the Oracle database combines all the individual results from the calls to the R function. This is significant because now the embedded R engine only needs to deal with the data for a single account at a time.  Regardless of whether we have 20 accounts or 1 million accounts or more, the R engine that performs the calculation does not care.  Given that normal R has a finite amount of memory to hold data, the ore.groupApply approach overcomes the R memory scalability problem since we only need to fit the data from a single account in R memory (not all of the data for all of the accounts). Additionally, the IRR_DATA does not need to be sent from the database to my desktop R program.  Even though I am invoking ore.groupApply from my desktop R program, because the actual SimpleMWRR calculation is run by the embedded R engine on the database server, the IRR_DATA does not need to leave the database server- this is both a performance benefit because network transmission of large amounts of data take time and a security benefit because it is harder to protect private data once you start shipping around your intranet. Another benefit, which we will discuss in a few paragraphs, is the ability to leverage Oracle database parallelism to run these calculations for dozens of accounts at once. From Walking to Running ore.groupApply is rather nice, but it still has the drawback that I run this from a desktop R instance.  This is not ideal for integrating into typical operational processes like nightly data warehouse refreshes or monthly statement generation.  But, this is not an issue for ORE.  Oracle R Enterprise lets us run this from the database using regular SQL, which is easily integrated into standard operations.  That is extremely exciting and the way we actually did these calculations in the customer proof. As part of Oracle R Enterprise, it provides a SQL equivalent to ore.groupApply which it refers to as “rqGroupEval”.  To use rqGroupEval via SQL, there is a bit of simple setup needed.  Basically, the Oracle Database needs to know the structure of the input table and the grouping column, which we are able to define using the database’s pipeline table function mechanisms. Here is the setup script: At this point, our initial setup of rqGroupEval is done for the IRR_DATA table.  The next step is to define our R function to the database.  We do that via a call to ORE’s rqScriptCreate. Now we can test it.  The SQL you use to run rqGroupEval uses the Oracle database pipeline table function syntax.  The first argument to irr_dataGroupEval is a cursor defining our input.  You can add additional where clauses and subqueries to this cursor as appropriate.  The second argument is any additional inputs to the R function.  The third argument is the text of a dummy select statement.  The dummy select statement is used by the database to identify the columns and datatypes to expect the R function to return.  The fourth argument is the column of the input table to split/group by.  The final argument is the name of the R function as you defined it when you called rqScriptCreate(). The Real-World Results In our real customer proof-of-concept, we had more sophisticated calculation requirements than shown in this simplified blog example.  For instance, we had to perform the rate of return calculations for 5 separate time periods, so the R code was enhanced to do so.  In addition, some accounts needed a time-weighted rate of return to be calculated, so we extended our approach and added an R function to do that.  And finally, there were also a few more real-world data irregularities that we needed to account for, so we added logic to our R functions to deal with those exceptions.  For the full-scale customer test, we loaded the customer data onto a Half-Rack Exadata X2-2 Database Machine.  As our half-rack had 48 physical cores (and 96 threads if you consider hyperthreading), we wanted to take advantage of that CPU horsepower to speed up our calculations.  To do so with ORE, it is as simple as leveraging the Oracle Database Parallel Query features.  Let’s look at the SQL used in the customer proof: Notice that we use a parallel hint on the cursor that is the input to our rqGroupEval function.  That is all we need to do to enable Oracle to use parallel R engines. Here are a few screenshots of what this SQL looked like in the Real-Time SQL Monitor when we ran this during the proof of concept (hint: you might need to right-click on these images to be able to view the images full-screen to see the entire image): From the above, you can notice a few things (numbers 1 thru 5 below correspond with highlighted numbers on the images above.  You may need to right click on the above images and view the images full-screen to see the entire image): The SQL completed in 110 seconds (1.8minutes) We calculated rate of returns for 5 time periods for each of 911k accounts (the number of actual rows returned by the IRRSTAGEGROUPEVAL operation) We accessed 103m rows of detailed cash flow/market value data (the number of actual rows returned by the IRR_STAGE2 operation) We ran with 72 degrees of parallelism spread across 4 database servers Most of our 110seconds was spent in the “External Procedure call” event On average, we performed 8,200 executions of our R function per second (110s/911k accounts) On average, each execution was passed 110 rows of data (103m detail rows/911k accounts) On average, we did 41,000 single time period rate of return calculations per second (each of the 8,200 executions of our R function did rate of return calculations for 5 time periods) On average, we processed over 900,000 rows of database data in R per second (103m detail rows/110s) R + Oracle R Enterprise: Best of R + Best of Oracle Database This blog post series started by describing a real customer problem: how to perform a lot of calculations on a lot of data in a short period of time.  While standard R proved to be a very good fit for writing the necessary calculations, the challenge of working with a lot of data in a short period of time remained. This blog post series showed how Oracle R Enterprise enables R to be used in conjunction with the Oracle Database to overcome the data volume and performance issues (as well as simplifying the operations and security issues).  It also showed that we could calculate 5 time periods of rate of returns for almost a million individual accounts in less than 2 minutes. In a future post, we will take the same R function and show how Oracle R Connector for Hadoop can be used in the Hadoop world.  In that next post, instead of having our data in an Oracle database, our data will live in Hadoop and we will how to use the Oracle R Connector for Hadoop and other Oracle Big Data Connectors to move data between Hadoop, R, and the Oracle Database easily.

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  • Ubuntu 11.10, FF 11, ATI Catalyst v12.2, Driver Package version 8.95, WebGL doesn't work

    - by Victor S
    I'm running Ubuntu 11.10, FF 11, ATI Catalyst v12.2, Driver Package version 8.95, WebGL doesn't work. This is a pretty capable setup and definetly did have FF work previously, Note: I've downloaded and installed the ATI drivers from AMD. Not sure how to get WebGL working. Updated My video card info: 01:00.0 VGA compatible controller: ATI Technologies Inc Cypress [Radeon HD 5800 Series] (prog-if 00 [VGA controller]) Subsystem: ATI Technologies Inc Device 0b00 Flags: bus master, fast devsel, latency 0, IRQ 44 Memory at d0000000 (64-bit, prefetchable) [size=256M] Memory at fbee0000 (64-bit, non-prefetchable) [size=128K] I/O ports at d000 [size=256] Expansion ROM at fbec0000 [disabled] [size=128K] Capabilities: [50] Power Management version 3 Capabilities: [58] Express Legacy Endpoint, MSI 00 Capabilities: [a0] MSI: Enable+ Count=1/1 Maskable- 64bit+ Capabilities: [100] Vendor Specific Information: ID=0001 Rev=1 Len=010 <?> Capabilities: [150] Advanced Error Reporting Kernel driver in use: fglrx_pci Kernel modules: fglrx, radeon

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  • why not use unmanaged safe code in c#

    - by user613326
    There is an option in c# to execute code unchecked. It's generally not advised to do so, as managed code is much safer and it overcomes a lot of problems. However I am wondering, if you're sure your code won't cause errors, and you know how to handle memory then why (if you like fast code) follow the general advice? I am wondering this since I wrote a program for a video camera, which required some extremely fast bitmap manipulation. I made some fast graphical algorithms myself, and they work excellent on the bitmaps using unmanaged code. Now I wonder in general, if you're sure you don't have memory leaks, or risks of crashes, why not use unmanaged code more often ? PS my background: I kinda rolled into this programming world and I work alone (I do so for a few years) and so I hope this software design question isn't that strange. I don't really have other people out there like a teacher to ask such things.

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  • How to setup ATI Mobility Radeon HD 4650?

    - by Thi An
    I'm currently using Ubuntu 12.04 64bit. After installing ATI/AMD proprietary FGLRX graphics drivers via Additional Drivers, I checked the status of my VGA card using lspci -v. Here's the output: 02:00.0 VGA compatible controller: Advanced Micro Devices [AMD] nee ATI M96 [Mobility Radeon HD 4650] (prog-if 00 [VGA controller]) Subsystem: Dell Device 0456 Flags: bus master, fast devsel, latency 0, IRQ 46 Memory at d0000000 (32-bit, prefetchable) [size=256M] I/O ports at 2000 [size=256] Memory at cfef0000 (32-bit, non-prefetchable) [size=64K] [virtual] Expansion ROM at cfe00000 [disabled] [size=128K] Capabilities: Kernel driver in use: fglrx_pci Kernel modules: fglrx, radeon As mentioned in the title, my VGA card is 1GB and yet my computer only recognizes 256MB. My question is: "How to make my computer fully recognize the capacity of my ATI Mobility Radeon HD 4650 (1GB)?"

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