Code Modernization: Bringing Codes Into the Parallel Age

June 8, 2017

The ways that advanced computing performance depends on more – much more – than the processor take many forms. Regardless of Moore’s Law validity, it’s Read more…

MPI Is 25 Years Old!

May 1, 2017

Has it really been 25 years since the Message Passing Interface standard was born? It has indeed, and at this year's EuroMPI meeting in September in Chicago, a Read more…

LOLCODE: I Can Has Supercomputer?

April 5, 2017

What programming model refers to threads as friends and uses types like NUMBR (integer), NUMBAR (floating point), YARN (string), and TROOF (Boolean)? That would Read more…

Compilers and More: The Past, Present and Future of Parallel Loops

April 6, 2015

Let's talk about parallel loops. In parallel computing, we've been designing, describing, implementing and using parallel loops almost since the beginning. Th Read more…

Argonne’s Paul Messina on Training for Extreme-Scale

March 12, 2015

Paul Messina, director of science for the Argonne Leadership Computing Facility (ALCF), discusses the primary objectives, curriculum and importance of the Argon Read more…

A Comparison of Heterogeneous and Manycore Programming Models

March 2, 2015

The high performance computing (HPC) community is heading toward the era of exascale machines, expected to exhibit an unprecedented level of complexity and size Read more…

BSC, Intel Extend Exascale Research Effort

February 17, 2015

Intel's efforts to advance exascale computing concepts received a boost with the extension of the company’s research collaboration with the Barcelona Supercom Read more…

The Democratization of Parallel Computing

August 20, 2014

Virginia Tech College of Engineering Professor Wu Feng has a vision to broadly apply parallel computing to advance science and address major challenges. A recen Read more…

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Whitepaper

Porting CUDA Applications to Run on AMD GPUs

Giving developers the ability to write code once and use it on different platforms is important. Organizations are increasingly moving to open source and open standard solutions which can aid in code portability. AMD developed a porting solution that allows developers to port proprietary NVIDIA® CUDA® code to run on AMD graphic processing units (GPUs).

This paper describes the AMD ROCm™ open software platform which provides porting tools to convert NVIDIA CUDA code to AMD native open-source Heterogeneous Computing Interface for Portability (HIP) that can run on AMD Instinct™ accelerator hardware. The AMD solution addresses performance and portability needs of artificial intelligence (AI), machine learning (ML) and high performance computing (HPC) for application developers. Using the AMD ROCm platform, developers can port their GPU applications to run on AMD Instinct accelerators with very minimal changes to be able to run their code in both NVIDIA and AMD environments.

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Sponsored by AMD

Whitepaper

QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads

A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.

This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.

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Sponsored by QCT

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