We are excited to announce the availability Parallelware Analyzer 0.15. This release has the following new features: Memory access patterns reporting. Now pwloops provides information not only about computational parallel patterns but also about memory access patterns. You can find more information about the patterns in our knowledge base. Use OpenMP teams to offload to […]
Technical
Interprocedural analysis across source code files with Parallelware Analyzer
Programs are rarely built from a single source code file. Normally, code is organized into several source files, reaching hundreds or even thousands of files for large programs. Static code analysis tools work by analyzing the source code files. When a function defined in a source file calls another function defined in a different source […]
Parallelware Trainer 1.5 released
We’re happy to announce the release of Parallelware Trainer 1.5 which brings exciting new features to offload computations to GPUs. Two offloading to GPU modes are now available for OpenMP. Naive parallelization using offloading consists of using the directive “target parallel for”. However, in order to better map to GPUs architectures, the use of “teams […]
Using CMake’s compilation database with Parallelware Analyzer
When building a program, seldom do we only invoke the compiler passing a source file and an output binary name. In most cases, we must supply several compiler flags such as include paths or macro definitions. A program is usually built by compiling different source files where each may require different compiler flags. One of […]
Parallelware Analyzer 0.14 now available in the Early Access Program
We are happy to announce the availability of Parallelware Analyzer 0.14. This release has a significant number of new features: Linux, Windows and MacOS versions: Parallelware Analyzer was available for Linux x86 and Power architectures supporting C/C++ and Fortran; now it is also available for Windows and MacOS supporting C/C++. Data race free analysis: pwcheck […]
Parallelware Analyzer NPB Quickstart
Index What is Parallelware Analyzer?– Where to start?– Useful options common to all toolsQuickstart with NAS Parallel BenchmarksUsing a configuration file Early Access Program is now open! Enter the program to have access to all versions of Parallelware Analyzer and support until the official release. Resources:– NAS Parallel Benchmarks (download C version) – Parallelware Analyzer webpage […]
Parallelware Trainer 1.4 released
We’re glad to announce the release of Parallelware Trainer 1.4 which greatly improves the deployment and user experience in supercomputers by allowing configuration through environment variables. Appentra strives to make parallel programming easier, enabling everyone to make the best use of parallel computing hardware from the multi-cores in a laptop to the fastest supercomputers. With […]
Customizing Parallelware Trainer through environment variables
Starting with version 1.4.0, Parallelware Trainer can be customized using environment variables. This is particularly helpful in deployments using a multi-user license or when certain development packages are installed in non-standard locations (e.g. MPI headers being located in /opt/mpi/include instead of in /usr/include/mpi). Customizing license file location When looking for a license file, Parallelware Trainer […]
Defects and recommendations for parallelism
Implementing parallel software is hard. On top of all the kinds of bugs that may be present in sequential code, parallel code can also suffer from race conditions. A race condition exists when several threads access the same data at the same time and at least one of them writes to it. Opening the door […]
Fixing defects in parallel code: an OpenMP example
Parallelware Analyzer provides a set of tools covering the most challenging steps of your parallel development workflow. Join the Parallelware Analyzer Early Access Program to get access to the tools for free. In this post, we present the pwcheck tool which provides a static code analyzer to ensure that your code is defect-free and compliant […]