#codeeperformancetip search results

#CodeePerformanceTip Improve your performance by considering loop fission with scalar-to-vector promotion to enable vectorization. Learn more and see the code examples 🔗github.com/codee-com/open… Example in #C👇

#CodeePerformanceTip Performance can be increased by using the highest possible trip count in the vectorized loop. Consider interchanging loops so that the loop with the highest trip count becomes the innermost loop. Learn more: codee.com/catalog/pwr019/

#CodeePerformanceTip Avoid unnecessary floating-point data conversions involving constants. Instead of the double constant, explicitly specify a float constant by appending the constant with f. Learn more: codee.com/catalog/pwr044/

#CodeePerformanceTip Techniques aimed at using #hardware efficiently: Distributing workload to multiple #CPU cores Distributing workload to accelerators Vectorization Optimizing for the #memory subsystem Optimizing for the CPU’s branch prediction unit codee.com/many-ways-to-s…👈

#CodeePerformanceTip Each procedure parameter should have its intent declared to facilitate reasoning about the flow of data in and out of the function. Read more: codee.com/knowledge/pwr0… #Fortran #C #BestPractices #Performance

#CodeePerformanceTip Explicitly declare all the global variables read or written in the function either as parameters or as local variables in the function body, including the output variables. 🔗Read more: codee.com/knowledge/pwr0… #Fortran #C #BestPractices #Performance

#CodeePerformanceTip: Consider loop fission to enable #vectorization. By extracting the vectorizable computations to a new loop, it can become vectorized with the corresponding #performance increase. 👉codee.com/knowledge/pwr0… #BestPractices #Codee #automation

#CodeePerformanceTip Consider applying #multithreading parallelism to scalar reduction loop. You must specify how to execute the loop in vector mode on the hardware, as well as add the appropriate synchronization to avoid race conditions at runtime. 🔗 codee.com/knowledge/pwr0…

#CodeePerformanceTip Consider loop interchange to improve the locality of reference and enable vectorization. Using loop interchange, the inefficient matrix access pattern is replaced with a more efficient one. See the explanation: 🔗zurl.co/uyjR #performance

#CodeePerformanceTip Explicitly declaring scalar variables in the smallest scope possible makes it easier for the compiler to track its usage. 🔗Read more: codee.com/knowledge/pwr0… #performance #software #bestpractices

#CodeePerformanceTip The most efficient way to process #arrays is to iterate over its elements in the same order in which they are laid out in memory, so that the program performs a sequential access to consecutive data in memory. 👉 codee.com/knowledge/pwr0… #C #Cpp #performance

#CodeePerformanceTip Your loop is rereading the same data from the memory many times? Have you tried #LoopTiling? The basic idea behind loop tiling is to split the processing of data into smaller segments called tiles or blocks. Learn more: codee.com/knowledge/glos… 👈

#CodeePerformanceTip: Your loop is rereading the same data from the memory many times? Have you tried loop tiling? 👇 From our knowledge base about when and how to apply loop tiling: codee.com/knowledge/glos… #looptiling #performance #software #HPC #Codee"

#CodeePerformanceTip: Does your computation need to be both precise and fast? Read more about how to improve the performance of your computations without affecting the speed in the post: codee.com/run-floating-p…

#CodeePerformanceTip: Vectorized loop will typically be several times faster compared to its non-vectorized counterpart. But what about loops that are impossible to vectorize? 👇 About loop fission and vectorizing the unvectorizable loops: codee.com/speed-up-non-v…

#CodeePerformanceTip: Your hot loop contains conditions. Have you tried loop unswitching? Read more about loop unswitching and vectorization in our post: codee.com/flexibility-an…

#CodeePerformanceTip: How to determine if your important algorithms is running at peak performance, i.e. it is using the hardware resources efficiently? codee.com/is-your-algori…

#CodeePerformanceTip: Performance improvements are possible by distributing the workload to accelerators, such as GPUs. From our blog about many ways to speed up your program: codee.com/many-ways-to-s…👇

#CodeePerformanceTip: Performance and numerical precision, do they go together? From our blog about #PortableCompiler pragmas and how you can use them to improve the speed of your program with minimal reduction in performance: codee.com/trade-precisio… 👇

#CodeePerformanceTip: In many applications, the CPU has to wait for the data from the memory. But is this our destiny? Can we do something to improve on this? From our blog about #MemoryEfficiency and other ways to improve the performance of your code: codee.com/many-ways-to-s… 👇

#CodeePerformanceTip: Does your computation need to be both precise and fast? Read more about how to improve the performance of your computations without affecting the speed in the post: codee.com/run-floating-p…

#CodeePerformanceTip: Consider loop fission to enable #vectorization. By extracting the vectorizable computations to a new loop, it can become vectorized with the corresponding #performance increase. 👉codee.com/knowledge/pwr0… #BestPractices #Codee #automation

#CodeePerformanceTip Explicitly declaring scalar variables in the smallest scope possible makes it easier for the compiler to track its usage. 🔗Read more: codee.com/knowledge/pwr0… #performance #software #bestpractices

#CodeePerformanceTip: How to determine if your important algorithm is running at peak performance, i.e. it is using the hardware resources efficiently? From our blog about the roofline model: codee.com/is-your-algori… 👇

#CodeePerformanceTip Consider applying #multithreading parallelism to scalar reduction loop. You must specify how to execute the loop in vector mode on the hardware, as well as add the appropriate synchronization to avoid race conditions at runtime. 🔗 codee.com/knowledge/pwr0…

#CodeePerformanceTip Consider loop interchange to improve the locality of reference and enable vectorization. Using loop interchange, the inefficient matrix access pattern is replaced with a more efficient one. See the explanation: 🔗zurl.co/uyjR #performance

#CodeePerformanceTip: Performance improvements are possible by distributing the workload to accelerators, such as GPUs. From our blog about many ways to speed up your program in the post: codee.com/many-ways-to-s…👇

#CodeePerformanceTip: In many applications, the CPU has to wait for the data from the memory. But is this our destiny? Can we do something to improve on this? From our blog about memory efficiency and other ways to improve the performance of your code: codee.com/many-ways-to-s… 👇

#CodeePerformanceTip Each procedure parameter should have its intent declared to facilitate reasoning about the flow of data in and out of the function. Read more: codee.com/knowledge/pwr0… #Fortran #C #BestPractices #Performance

#CodeePerformanceTip: When optimizing nested loops and matrix code, what are the best practices? 👇From our blog post about loop interchange and guidelines for good performance: codee.com/case-study-how…

#CodeePerformanceTip: Performance and numerical precision, do they go together? From our blog about portable compiler pragmas and how you can use them to improve the speed of your program with minimal reduction in performance: codee.com/trade-precisio… 👇

#CodeePerformanceTip Avoid unnecessary floating-point data conversions involving constants. Instead of the double constant, explicitly specify a float constant by appending the constant with f. Learn more: codee.com/catalog/pwr044/

#CodeePerformanceTip: Vectorized loop will typically be several times faster compared to its non-vectorized counterpart. But what about loops that are impossible to vectorize? 👇 From our blog about loop fission and vectorizing the unvectorizable loops: codee.com/speed-up-non-v…

#CodeePerformanceTip Your loop is rereading the same data from the memory many times? Have you tried #LoopTiling? The basic idea behind loop tiling is to split the processing of data into smaller segments called tiles or blocks. Learn more: codee.com/knowledge/glos… 👈

#CodeePerformanceTip: Your hot loop contains conditions. Have you tried loop unswitching? Read more about loop unswitching and vectorization in our post: codee.com/flexibility-an…

#CodeePerformanceTip Performance can be increased by using the highest possible trip count in the vectorized loop. Consider interchanging loops so that the loop with the highest trip count becomes the innermost loop. Learn more: codee.com/catalog/pwr019/

#CodeePerformanceTip: Your loop is rereading the same data from the memory many times? Have you tried loop tiling? 👇 From our knowledge base about when and how to apply loop tiling: codee.com/knowledge/glos… #looptiling #performance #software #HPC #Codee"

#CodeePerformanceTip Improve your performance by considering loop fission with scalar-to-vector promotion to enable vectorization. Learn more and see the code examples 🔗github.com/codee-com/open… Example in #C👇

#CodeePerformanceTip The most efficient way to process #arrays is to iterate over its elements in the same order in which they are laid out in memory, so that the program performs a sequential access to consecutive data in memory. 👉 codee.com/knowledge/pwr0… #C #Cpp #performance

#CodeePerformanceTip Explicitly declare all the global variables read or written in the function either as parameters or as local variables in the function body, including the output variables. 🔗Read more: codee.com/knowledge/pwr0… #Fortran #C #BestPractices #Performance