Search Results

Search found 2261 results on 91 pages for 'numerical computing'.

Page 11/91 | < Previous Page | 7 8 9 10 11 12 13 14 15 16 17 18  | Next Page >

  • Oracle auf der CeBIT 2011 in Hannover

    - by franziska.schneider(at)oracle.com
    Cloud Computing als Organisationsstrategie in heterogenen Umgebungen 02.03.2011, 15:40 - 16:00 Halle 4, Stand A 58 Veranstalter: BITKOM Veranstaltungsreihe: Cloud Computing World Referent: Helene Lengler, Vice President, ORACLE Deutschland B.V. & Co. KG   Weiterhin können Sie viele Oracle Partner auf der CeBIT treffen. Schreiben Sie uns einfach mit Ihrem Themenwunsch an und wir organisieren einen Termin.

    Read the article

  • Pay in the future should make you think in the present

    - by BuckWoody
    Distributed Computing - and more importantly “-as-a-Service” models of computing have a different cost model. This is something that sounds obvious on the surface but it’s often forgotten during the design and coding phase of a project. In on-premises computing, we’re used to purchasing a server and all of the hardware infrastructure and software licenses needed not only for one project, but several. This is an up-front or “sunk” cost that we consume by running code the organization needs to perform its function. Using a direct connection over wires you’ve already paid for, we don’t often have to think about bandwidth, hits on the data store or the amount of compute we use - we just know more is better. In a pay-as-you-go model, however, each of these architecture decisions has a potential cost impact. The amount of data you store, the number of times you access it, and the amount you send back all come with a charge. The offset is that you don’t buy anything at all up-front, so that sunk cost is freed up. And financial professionals know that money now is worth more than money later. Saving that up-front cost allows you to invest it in other things. It’s not just that you’re using things that now cost money - it’s that the design itself in distributed computing has a cost impact. That can be a really good thing, such as when you dynamically add capacity for paying customers. If you can tie back the cost of a series of clicks to what a user will pay to do so, you can set a profit margin that is easy to track. Here’s a case in point: Assume you are using a large instance in Windows Azure to compute some data that you retrieve from a SQL Azure database. If you don’t monitor the path of the application, you may not know what you are really using. Since you’re paying by the size of the instance, it’s best to maximize it all the time. Recently I evaluated just this situation, and found that downsizing the instance and adding another one where needed, adding a caching function to the application, moving part of the data into Windows Azure tables not only increased the speed of the application, but reduced the cost and more closely tied the cost to the profit. The key is this: from the very outset - the design - make sure you include metrics to measure for the cost/performance (sometimes these are the same) for your application. Windows Azure opens up awesome new ways of doing things, so make sure you study distributed systems architecture before you try and force in the application design you have on premises into your new application structure.

    Read the article

  • array_splice() - Numerical Offsets of Associative Arrays

    - by Alix Axel
    I'm trying to do something but I can't find any solution, I'm also having some trouble putting it into works so here is a sample code, maybe it'll be enough to demonstrate what I'm aiming for: $input = array ( 'who' => 'me', 'what' => 'car', 'more' => 'car', 'when' => 'today', ); Now, I want to use array_splice() to remove (and return) one element from the array: $spliced = key(array_splice($input, 2, 1)); // I'm only interested in the key... The above will remove and return 1 element (third argument) from $input (first argument), at offset 2 (second argument), so $spliced will hold the value more. I'll be iterating over $input with a foreach loop, I know the key to be spliced but the problem is I don't know its numerical offset and since array_splice only accepts integers I don't know what to do. A very dull example: $result = array(); foreach ($input as $key => $value) { if ($key == 'more') { // Remove the index "more" from $input and add it to $result. $result[] = key(array_splice($input, 2 /* How do I know its 2? */, 1)); } } I first though of using array_search() but it's pointless since it'll return the associative index.... How do I determine the numerical offset of a associative index?

    Read the article

  • Reversible numerical calculations in Prolog

    - by user8472
    While reading SICP I came across logic programming chapter 4.4. Then I started looking into the Prolog programming language and tried to understand some simple assignments in Prolog. I found that Prolog seems to have troubles with numerical calculations. Here is the computation of a factorial in standard Prolog: f(0, 1). f(A, B) :- A > 0, C is A-1, f(C, D), B is A*D. The issues I find is that I need to introduce two auxiliary variables (C and D), a new syntax (is) and that the problem is non-reversible (i.e., f(5,X) works as expected, but f(X,120) does not). Naively, I expect that at the very least C is A-1, f(C, D) above may be replaced by f(A-1,D), but even that does not work. My question is: Why do I need to do this extra "stuff" in numerical calculations but not in other queries? I do understand (and SICP is quite clear about it) that in general information on "what to do" is insufficient to answer the question of "how to do it". So the declarative knowledge in (at least some) math problems is insufficient to actually solve these problems. But that begs the next question: How does this extra "stuff" in Prolog help me to restrict the formulation to just those problems where "what to do" is sufficient to answer "how to do it"?

    Read the article

  • Numerical calculations in Prolog

    - by user8472
    While reading SICP I came across logic programming chapter 4.4. Then I started looking into the Prolog programming language and tried to understand some simple assignments in Prolog. I found that Prolog seems to have troubles with numerical calculations. Here is the computation of a factorial in standard Prolog: f(0, 1). f(A, B) :- A > 0, C is A-1, f(C, D), B is A*D. The issues I find is that I need to introduce two auxiliary variables (C and D), a new syntax (is) and that the problem is non-reversible (i.e., f(5,X) works as expected, but f(X,120) does not). Naively, I expect that at the very least C is A-1, f(C, D) above may be replaced by f(A-1,D), but even that does not work. My question is: Why do I need to do this extra "stuff" in numerical calculations but not in other queries? I do understand (and SICP is quite clear about it) that in general information on "what to do" is insufficient to answer the question of "how to do it". So the declarative knowledge in (at least some) math problems is insufficient to actually solve these problems. But that begs the next question: How does this extra "stuff" in Prolog help me to restrict the formulation to just those problems where "what to do" is sufficient to answer "how to do it"?

    Read the article

  • What Parallel computing APIs make good use of sockets?

    - by Ole Jak
    My program uses sockets, what Parallel computing APIs could I use that would help me without obligating me to go from sockets to anything else? When we are on a cluster with a special, non-socket infrastructure system this API would emulate something like sockets but using that infrastructure (so programs perform much faster than on sockets, but still use the sockets API).

    Read the article

  • Terminology for mobile computing with a tablet?

    - by Idrise_Coulombe
    This is more of a terminology question... I'm developing an occasionally connected application that will run on a tablet for clinicians or field service workers but I'm struggling with what this type of computing is referred to. Mobile computing as connotations of a phone app. Whereas our clients may be occasionally at their desk. Microsoft uses Smart Client a lot, but I'm not sure if that best describes this scenario or is the common term for this kind of computing.

    Read the article

  • DNA and Quantum computing

    - by Jacques
    I recently(A couple of weeks ago) read an article about the future of processing and how quantum-processors and DNA-processors(DNA-computing) are the future competitors of computing since both will completely outperform the computers of this era. In terms of processing speeds, what do we expect from these two different processing techniques ? Personally I believe that DNA-processing will be a major step towards AI. For labs and office work I think quantum-processing which will be more logical. I'm quite excited that i'm still so young - to see what the future of technology holds! Then again my parents will soon find out what the after-life holds... just as bloody exciting, if not more..

    Read the article

  • How do I assign a number value to a non-numerical value in Excel

    - by Keyslinger
    Greetings I have an some survey responses with values like "VU" for "Very Unlikely" and "S" for Sometimes. Each survey response occupies a cell. For each cell containing a survey response, I want to fill another cell with a corresponding number. For example, for every cell containing "VU" I want to fill a corresponding cell with the number 1. How is this done?

    Read the article

  • Excel Pivot Tables -- Divide Numerical Column Data into Ranges

    - by ktm5124
    Hi, I have an Excel spreadsheet with a column called "Time Elapsed" that stores the number of days it took to complete a task. I would like to make a pivot table out of this spreadsheet where I divide the "Time Elapsed" column into ranges, e.g., how many tasks took 0 to 4 days to complete how many tasks took 5 to 9 days how many took 10 to 14 days how many took 15+ days Do I have to create new columns in my spreadsheet dedicated to each interval (0 to 4, 5 to 9, etc.) or can I use some feature of pivot tables to separate my one "Time Elapsed" column into intervals? Thanks in advance.

    Read the article

  • Access element in json having numerical index

    - by hunt
    i have following format of json in which i want to asscess 0.4 , kem , 2 , 2000 values but it seems it doesn't have name index so how one can access it in jquery. when i paste following code in json viewer then i am getting numerical index for 0.4 , kem , 2 "td": [ { "@attributes": { "class": "odd" }, "span": [ "3", "7" ] }, "0.4", "Kem", "24\/04\/2010", "2000", "2", "14000", "Good", "Buckley", "56.0", "2:05.32", "36.65", "54.5" ] }

    Read the article

  • Do you know what is a DevOps Project?

    - by Gopinath
    Yesterday I wrote about OpenStack project, an open source cloud computing stack that lets you build Cloud Computing environments. While reading more on this topic I stumbled about a new type of projects called DevOps projects.  OpenStack is all set to become the first DevOps project, reports Forbes …the way OpenStack is applying the open source model to creating cloud infrastructure, the open source model is on the verge of being extended so that the collaboration and design process will include software, hardware, and networking in the data center as well as operational processes. In modern development, the idea of designing software, data center, and operations using one integrated team is called DevOps.

    Read the article

  • Developing a Support Plan for Cloud Applications

    - by BuckWoody
    Last week I blogged about developing a High-Availability plan. The specifics of a given plan aren't as simple as "Step 1, then Step 2" because in a hybrid environment (which most of us have) the situation changes the requirements. There are those that look for simple "template" solutions, but unless you settle on a single vendor and a single way of doing things, that's not really viable. The same holds true for support. As I've mentioned before, I'm not fond of the term "cloud", and would rather use the tem "Distributed Computing". That being said, more people understand the former, so I'll just use that for now. What I mean by Distributed Computing is leveraging another system or setup to perform all or some of a computing function. If this definition holds true, then you're essentially creating a partnership with a vendor to run some of your IT - whether that be IaaS, PaaS or SaaS, or more often, a mix. In your on-premises systems, you're the first and sometimes only line of support. That changes when you bring in a Cloud vendor. For Windows Azure, we have plans for support that you can pay for if you like. http://www.windowsazure.com/en-us/support/plans/ You're not off the hook entirely, however. You still need to create a plan to support your users in their applications, especially for the parts you control. The last thing they want to hear is "That's vendor X's problem - you'll have to call them." I find that this is often the last thing the architects think about in a solution. It's fine to put off the support question prior to deployment, but I would hold off on calling it "production" until you have that plan in place. There are lots of examples, like this one: http://www.va-interactive.com/inbusiness/editorial/sales/ibt/customer.html some of which are technology-specific. Once again, this is an "it depends" kind of approach. While it would be nice if there was just something in a box we could buy, it just doesn't work that way in a hybrid system. You have to know your options and apply them appropriately.

    Read the article

  • Developing a Support Plan for Cloud Applications

    - by BuckWoody
    Last week I blogged about developing a High-Availability plan. The specifics of a given plan aren't as simple as "Step 1, then Step 2" because in a hybrid environment (which most of us have) the situation changes the requirements. There are those that look for simple "template" solutions, but unless you settle on a single vendor and a single way of doing things, that's not really viable. The same holds true for support. As I've mentioned before, I'm not fond of the term "cloud", and would rather use the tem "Distributed Computing". That being said, more people understand the former, so I'll just use that for now. What I mean by Distributed Computing is leveraging another system or setup to perform all or some of a computing function. If this definition holds true, then you're essentially creating a partnership with a vendor to run some of your IT - whether that be IaaS, PaaS or SaaS, or more often, a mix. In your on-premises systems, you're the first and sometimes only line of support. That changes when you bring in a Cloud vendor. For Windows Azure, we have plans for support that you can pay for if you like. http://www.windowsazure.com/en-us/support/plans/ You're not off the hook entirely, however. You still need to create a plan to support your users in their applications, especially for the parts you control. The last thing they want to hear is "That's vendor X's problem - you'll have to call them." I find that this is often the last thing the architects think about in a solution. It's fine to put off the support question prior to deployment, but I would hold off on calling it "production" until you have that plan in place. There are lots of examples, like this one: http://www.va-interactive.com/inbusiness/editorial/sales/ibt/customer.html some of which are technology-specific. Once again, this is an "it depends" kind of approach. While it would be nice if there was just something in a box we could buy, it just doesn't work that way in a hybrid system. You have to know your options and apply them appropriately.

    Read the article

  • Java code optimization leads to numerical inaccuracies and errors

    - by rano
    I'm trying to implement a version of the Fuzzy C-Means algorithm in Java and I'm trying to do some optimization by computing just once everything that can be computed just once. This is an iterative algorithm and regarding the updating of a matrix, the clusters x pixels membership matrix U, this is the update rule I want to optimize: where the x are the element of a matrix X (pixels x features) and v belongs to the matrix V (clusters x features). And m is a parameter that ranges from 1.1 to infinity. The distance used is the euclidean norm. If I had to implement this formula in a banal way I'd do: for(int i = 0; i < X.length; i++) { int count = 0; for(int j = 0; j < V.length; j++) { double num = D[i][j]; double sumTerms = 0; for(int k = 0; k < V.length; k++) { double thisDistance = D[i][k]; sumTerms += Math.pow(num / thisDistance, (1.0 / (m - 1.0))); } U[i][j] = (float) (1f / sumTerms); } } In this way some optimization is already done, I precomputed all the possible squared distances between X and V and stored them in a matrix D but that is not enough, since I'm cycling througn the elements of V two times resulting in two nested loops. Looking at the formula the numerator of the fraction is independent of the sum so I can compute numerator and denominator independently and the denominator can be computed just once for each pixel. So I came to a solution like this: int nClusters = V.length; double exp = (1.0 / (m - 1.0)); for(int i = 0; i < X.length; i++) { int count = 0; for(int j = 0; j < nClusters; j++) { double distance = D[i][j]; double denominator = D[i][nClusters]; double numerator = Math.pow(distance, exp); U[i][j] = (float) (1f / (numerator * denominator)); } } Where I precomputed the denominator into an additional column of the matrix D while I was computing the distances: for (int i = 0; i < X.length; i++) { for (int j = 0; j < V.length; j++) { double sum = 0; for (int k = 0; k < nDims; k++) { final double d = X[i][k] - V[j][k]; sum += d * d; } D[i][j] = sum; D[i][B.length] += Math.pow(1 / D[i][j], exp); } } By doing so I encounter numerical differences between the 'banal' computation and the second one that leads to different numerical value in U (not in the first iterates but soon enough). I guess that the problem is that exponentiate very small numbers to high values (the elements of U can range from 0.0 to 1.0 and exp , for m = 1.1, is 10) leads to ver y small values, whereas by dividing the numerator and the denominator and THEN exponentiating the result seems to be better numerically. The problem is it involves much more operations. Am I doing something wrong? Is there a possible solution to get both the code optimized and numerically stable? Any suggestion or criticism will be appreciated.

    Read the article

< Previous Page | 7 8 9 10 11 12 13 14 15 16 17 18  | Next Page >