Intel Parallel Studio XE is a complete software development suite that includes highly optimized compilers and math and data analytics libraries, along with comprehensive tools for performance analysis, application debugging, and parallel processing. It’s available as a download for Windows, Linux, and MacOS. “With this release, the focus is on making it easier for HPC and AI developers to deliver fast and reliable parallel code for the most demanding applications.”
Articles and news on parallel programming and code modernization
Latest Release of Intel Parallel Studio XE Delivers New Features to Boost HPC and AI Performance
March 12, 2020 by
New Paper Surveys Optimization Techniques for Intel Xeon Phi
March 5, 2020 by
A new paper by Dr Sparsh Mittal surveys techniques for evaluating and optimizing Intel’s Xeon Phi. Now accepted in Concurrency and Computation 2020, the survey reviews nearly 100 papers. “Intel Xeon Phi combines the parallel processing power of a many-core accelerator with the programming ease of CPUs. Phi has powered many supercomputers, e.g., in June 2018 list of Top500 supercomputers, 19 supercomputers used Phi as the main processing unit. This paper surveys works that study the architecture of Phi and use it as an accelerator for various applications. It critically examines the performance bottlenecks and optimization strategies for Phi. For example, the main motivation and justification for development of Phi was ease of programming.”
Video: How oneAPI Is Revolutionizing Programming
March 2, 2020 by
In this video, academics and industry experts weigh in on the potential of oneAPI, the new, unified software programming model for CPU, GPU, AI, and FPGA accelerators that delivers high compute performance for emerging specialized workloads across diverse compute architectures.
Call for Papers: SCALE 2020 Scalable Computing Challenge for Cash Prizes
January 26, 2020 by
The IEEE International Scalable Computing Challenge (SCALE 2020) has issued its Call for Papers. “Are you doing real-world problem-solving using computing that scales? Want to win $1000 or $500? Submit a whitepaper to 13th IEEE International Scalable Computing Challenge (SCALE 2020) by Feb 5, 2020. Finalists must register, present & demo at CCGrid 2020.”
Jack Dongarra presents: Adaptive Linear Solvers and Eigensolvers
January 25, 2020 by
Jack Dongarra from UT Knoxville gave this talk at ATPESC 2019. “Success in large-scale scientific computations often depends on algorithm design. Even the fastest machine may prove to be inadequate if insufficient attention is paid to the way in which the computation is organized. We have used several problems from computational physics to illustrate the importance of good algorithms, and we offer some very general principles for designing algorithms.”
Appentra Releases Parallelware Trainer 1.4
January 20, 2020 by
Today Appentra released Parallelware Trainer 1.4, an interactive, real-time code editor with features that facilitate the learning, usage, and implementation of parallel programming by understanding how and why sections of code can be parallelized. “As 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 this new release, we push Parallelware Trainer further towards that goal.”
Full Roundup: SC19 Booth Tour Videos from insideHPC
January 8, 2020 by
Now that SC19 is behind us, it’s time to gather our booth tour videos in one place. Throughout the course of the show, insideHPC talked to dozens of HPC innovators showcasing the very latest in hardware, software, and cooling technologies.
An Alternative to OpenMP and an On-Ramp to Future C++ Standards
December 25, 2019 by
In this edition of Let’s Talk Exascale, Christian Trott of Sandia National Laboratories shares insights about Kokkos, a programming model for numerous Exascale Computing Project applications. “Kokkos is a programming model being developed to deliver a widely usable alternative to programming in OpenMP. It is expected to be easier to use and provide a higher degree of performance portability, while integrating better into C++ codes.”
Podcast: Developing Multiprecision Algorithms with the Ginkgo Library Project
December 20, 2019 by
In this episode of Let’s Talk Exascale, Hartwig Anzt from the University of Tennessee describes how the ECP Ginkgo Library Project is developing a vision for multiprecision algorithms. “Anything reducing the data transfer volume while still communicating the information can help make use of the software more efficient. Benefits are available even if the decreased data transfer volume comes at the cost of additional operations.”
Intel’s Kent Moffat describes the exciting new launch of oneAPI
December 4, 2019 by
In this video, Kent Moffat, senior product manager from Intel, describes the oneAPI initiative, an ambitious shift from today’s single-architecture, single-vendor programming models to a unified, simplified programming model for application development across heterogeneous architectures, including CPUs, GPUs, FPGAs and other accelerators.
