Employing a hybrid of MPI across nodes in a cluster, multithreading with OpenMP* on each node, and vectorization of loops within each thread results in multiple performance gains. In fact, most application codes will run slower on the latest supercomputers if they run purely sequentially. This means that adding multithreading and vectorization to applications is now essential for running efficiently on the latest architectures.
More Than Ever, Vectorization and Multithreading are Essential for Performance
August 17, 2017 by Leave a Comment
3X Performance Boost Using Intel Advisor and Intel Trace Analyzer in Astrophysics Simulations
August 3, 2017 by Leave a Comment
On today’s processors, it is crucial to both vectorize (using AVX* or SIMD* instructions) and parallelize software to realize the full performance potential of the processor. By optimizing their MHD astrophysics applications with tools from Intel Parallel Studio XE, and running on the latest Intel hardware, the NSU team achieved a performance speed-up of 3X, cutting the standard time for calculating one problem from one week to just two days.
Speeding Up Big Data Analysis With Intel MKL and Intel DAAL
July 27, 2017 by Leave a Comment
“New algorithms that can query massive amounts of data an draw conclusions have been developed, but these algorithms need to be optimized on the underlying hardware. This is where the expertise of vendors who develop the hardware can add tremendous value. Optimizing the underlying libraries that can execute with a high degree of parallelism will definitely lead to improved performance for the software and productivity gains for the organization.”
OpenACC Brings Directives to Accelerated Computing at ISC 2017
July 21, 2017 by
In this video from ISC 2017, Sunita Chandrasekaran and Michael Wolfe describe how OpenACC makes GPU-accelerated computing more accessible to scientists and engineers. “OpenACC is a user-driven directive-based performance-portable parallel programming model designed for scientists and engineers interested in porting their codes to a wide-variety of heterogeneous HPC hardware platforms and architectures with significantly less programming effort than required with a low-level model.”
Go with Intel® Data Analytics Acceleration Library and Go*
July 20, 2017 by
Use of the Go* programming language and it’s developer community has grown significantly since it’s official launch by Google in 2009. Like many popular programming languages (C and Java come to mind), Go started as an experiment to design a new programming language that would fix some of the common problems of other languages and yet stay true to the basic tenets of modern programming: be scalable, productive, readable, enable robust development environments, and support networking and multiprocessing.
Video: OpenACC Update from ISC 2017
July 10, 2017 by
In this video from ISC 2017, Sunita Chandrasekaran and Michael Wolfe present an overview of OpenACC and a preview of upcoming GPU Hackathon events. “OpenACC is a user-driven directive-based performance-portable parallel programming model designed for scientists and engineers interested in porting their codes to a wide-variety of heterogeneous HPC hardware platforms and architectures with significantly less programming effort than required with a low-level model.”
The Virtual Institute – High Productivity Supercomputing Celebrates 10th Anniversary
July 2, 2017 by
“The mission of the Virtual Institute – High Productivity Supercomputing (VI-HPS) is to improve the quality and accelerate the development process of complex simulation codes in science and engineering that are being designed to run on highly-parallel computer systems. For this purpose, we are developing integrated state-of-the-art programming tools for high-performance computing that assist programmers in diagnosing programming errors and optimizing the performance of their applications.”
Performance Gains Using Libraries
June 29, 2017 by
In many cases, applications that perform various simulations use some of the same math functions that many other applications use. Rather than each developer recoding the same math functions over and over, libraries, developed by experts can significantly speed up execution of the overall application. Since there can be many optimizations that experts who understand many of the nuances of the hardware would understand, it is important that developers be familiar with various libraries that are made available for HPC types of applications.
OpenACC Takes Off at ISC17
June 19, 2017 by
Today the OpenACC standards group announced plans to showcase new advancements and increasing momentum for their programming model at ISC 2017 in Frankfurt. “OpenACC is a user-driven directive-based performance-portable parallel programming model designed for scientists and engineers interested in porting their codes to a wide-variety of heterogeneous HPC hardware platforms and architectures with significantly less programming effort than required with a low-level or explicit models.”
Allinea to Showcase V7.1 Performance Tools at ISC 2017
June 16, 2017 by
Today Allinea software, now part of ARM, announced plans to preview the latest update to its powerful tool suite for developing and optimizing high performance and scientific applications at ISC17 in Frankfurt. “Eliminating performance loss across systems and minimizing the communication overhead often make a critical difference in improving application run times in HPC. We believe that our extended cross-platform support will enable users to achieve unprecedented results by running their systems more efficiently on each of the major platforms and even across platforms,” said Mark O’Connor, director of product management, server and HPC tools, ARM.
