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High Performance Computing

High Performance Computing
A discussion venue for all things high performance computing (HPC), supercomputing, and the technologies that enables scientific research and discovery.
Results for GPU Computing
  • HPC GPU Flexibility: The Evolution of GPU Applications and Systems

    I am a man of fixed and unbending principles, the first of which is to be flexible at all times. Everett Dirksen Stay committed to your decisions, but stay flexible in your approach. Tony Robbins Technology makes things faster and more cost-effective, but it's not perfect. It requires...
  • HPC GPU Flexibility: The Evolution of GPU Applications and Systems Part 3 – Dell’s Approach

    Dell's Dr. Jeff Layton GPUs are arguably one of the hottest trends in HPC. They can greatly improve performance while reducing the power consumption of systems. However, because the techniques of GPU computing are still evolving both for application development and for tool-sets, GPU...
  • HPC shifting sands: Distributed or centralized infrastructure

    As NVIDIA takes the HPC world by storm by lending the power of their GPUs (graphic processing units) to HPC applications , ISVs, system architects, and users are all trying to find their footing when it comes to planning how they’ll be using HPC in the next year or two. To make a historical comparison...
  • Advantages of GPUDirect

    Blog Description GPUs can Talk to Each Other Now !! 10/24/2007 -- Comments Figure 1: Overview of the GPUDirect technology in CUDA 4.0 (courtesy of NVIDA Corporation). NVIDIA is about to release its latest CUDA 4.0 toolkit in the near future, and what a difference it is likely to make for some scientific...
  • HPC GPU Flexibility: The Evolution of GPU Applications and Systems Part 4

    Dell's Dr. Jeff Layton Part 4 – GPU Configurations Using Dell Systems GPUs are arguably one of the hottest trends in HPC. They can greatly improve performance while reducing the power consumption of systems. However, because the area of GPU Computing is still evolving both for application...
  • New Cornell Collaboration Explores GPU Computing Using MATLAB

    The Cornell University Center for Advanced Computing (CAC) announced an exciting new research collaboration between ourselves, NVIDIA, Dell and MathWorks . The goal of this newly formed group is to explore the capabilities of GPU computing for data manipulation using MATLAB applications. More specifically...
  • HPL Performance on PE C6100 and C410x

    Executive Summary · With two PowerEdge C6100s attached to a C410x (Full Sandwich) configuration, the best performance achieved on HPL is 4215 GFLOPS (46% theoretical peak) and it consumes 5525 watts. · On a single PowerEdge C6100 attached to a C410x (Half Sandwich) configuration, the...
  • HPL Performance on PE C6145 and C410x

    Executive Summary · With two PowerEdge C6145s attached to a PowerEdge C410x (Full Sandwich) configuration, the best performance achieved with HPL is 2891 GFLOPS (31% theoretical peak) and it consumes 5030 watts. · On a single PowerEdge C6145 attached to a C410x (Half Sandwich) configuration...
  • NAMD Performance on PE C6100 and C410X

    Executive Summay Given a single fully populated C410X with 16 M2070 GPUs, the recommended solution for NAMD is an 8 node configuration shown below. On STMV, a standard large NAMD benchmark, it shows a 3.5X performance compared to an equivalent CPU only cluster. It is recommended to use X5650...
  • HPC GPU Flexibility: Multiple GPUs + MPI, CUDA, OpenCL & Compilers

    Dr. Jeff Layton Note: In a previous blog, Dell's Dr. Jeff Layton begins this new series exploring the past & future of GPU Computing in HPC - you can read that blog here: HPC GPU Flexibility: The Evolution of GPU Applications and Systems Further Evolution: Think Multiple GPUs + MPI...