FPGA with OpenCL Solution Released to Deep Learning

March 17, 2016

A deep learning acceleration solution based on Altera’s Arria® 10 FPGAs and DNN algorithm from iFLYTEK, an intelligent speech technology provider in China, r Read more…

A Shot of Java to Send Accelerators Mainstream

September 5, 2013

When it comes to mainstream adoption of the use of GPUs and other accelerators, one of the primary barriers lies in programmability. While the vendor communities around accelerators have pushed to flatten the learning curve, the fact remains that it takes special effort on the part of ordinary developers to undertake the educational process. In this in-depth audio feature, we talk to Rice University researcher, Max Grossman about how Java... Read more…

Harlan Targets Complexity for GPGPU Programming

July 11, 2013

HPC programmers who are tired of managing low-level details when using OpenCL or CUDA to write general purpose applications for GPUs (GPGPU) may be interested in Harlan, a new declarative programming language designed to mask the complexity and eliminate errors common in GPGPU application development. Read more…

AMD Taken to Task on HPC Investment

July 10, 2013

This week we talked with AMD's GM of the Server Business Unit, Andrew Feldman about his company's role in the future of HPC. We asked how invested they are in the future of this market, what technologies will push their drive forward, and where they see the biggest opportunities in high performance computing. Interestingly, we found that.... Read more…

OpenCL: Free Your GPU… and the rest of your system too!

May 6, 2013

In this article, we will consider how OpenCL can address some of the coming challenges, and what the OpenCL community is doing to insure that there is a vibrant ecosystem of support, as more and more users turn to OpenCL from vendor-locked solutions. Read more…

The Week in HPC Research

February 28, 2013

The top research stories of the week include lessons learned from system failures; a cross-platform OpenCL implementation; the best memory to extract GPU's potential; innovative ideas for next-generation interconnects; and the benefits of cloud storage to HPC applications. Read more…

GPU Monster Shreds Password Hashes

December 6, 2012

Today's notion of safe passwords may soon be a thing of the past. Thanks to cheaper hardware, cloud software, and free password cracking programs, it's easier than ever to hack these digital keys. Just how easy? Earlier this week, a custom-built GPU cluster tore through 348 billion password hashes per second during the Passwords^12 Conference in Oslo, Norway. Read more…

OpenCL Gains Ground On CUDA

February 28, 2012

As the two major programming frameworks for GPU computing, OpenCL and CUDA have been competing for mindshare in the developer community for the past few years. Until recently, CUDA has attracted most of the attention from developers, especially in the high performance computing realm. But OpenCL software has now matured to the point where HPC practitioners are taking a second look. 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