Madrid Workshop Explores the Business Case for Clouds

July 16, 2012

Cloud, as an abstraction, represents a flexible, ubiquitous and consistent platform accessible from anywhere at any time. Last week, the International Workshop on Clouds for Business and Business for Clouds provided the perfect meeting point for both industry and academia to explore the truth of this statement and further discuss how organizations can benefit from the myriad of available cloud models. Read more…

Taking a Disruptive Approach to Exascale

August 18, 2011

A recent DOE workshop that focused on exascale challenges and current gaps in research and ideology provided food for thought for those seeking a "disruptive" approach to this next level of computing. We highlight a handful of the presentations, delivered by some of the most noteworthy researchers and practitioners in the field. Read more…

Workshop Focuses on Use of Manycore and Accelerator-based Computing for Advancing Science

December 16, 2009

Online, at conferences and in theory, manycore processors and the use of accelerators such as GPUs and FPGAs are being viewed as the next big revolution in high performance computing. If they can live up to the potential, these accelerators could someday transform how computational science is performed, providing much more computing power and energy efficiency. Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

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.

Download Now

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.

Download Now

Sponsored by QCT

Advanced Scale Career Development & Workforce Enhancement Center

Featured Advanced Scale Jobs:

Receive the Monthly
Advanced Computing Job Bank Resource:

HPCwire Resource Library

HPCwire Product Showcase

Subscribe to the Monthly
Technology Product Showcase:

HPCwire