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Experiences with hybrid clusters

Eric Van Hensbergen, Damir Jamsek

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Tags: Cell processor, Computational Complexity, Computer science, CUDA, Hybrid computing, MPI, nVidia, Presentation, Tesla

July 27, 2011 by hgpu

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Cedric Augonnet, Jerome Clet-Ortega, Samuel Thibault, Raymond Namyst

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5800, Package, Prefetch, Task scheduling, Tesla S1070

July 26, 2011 by hgpu

Hybrid OpenCL: Enhancing OpenCL for Distributed Processing

Ryo Aoki, Shuichi Oikawa, Takashi Nakamura, Satoshi Miki

Tags: Code generation, Computer science, GPU cluster, MPI, OpenCL

July 22, 2011 by hgpu

RTSL: a Ray Tracing Shading Language

Steven G. Parker, Solomon Boulos, James Bigler, Austin Robison

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Tags: Computer science, GLSL, High-level Languages, MPI, OpenGL, Programming techniques, Raytracing, Rendering

July 20, 2011 by hgpu

Unified Parallel C for GPU Clusters: Language Extensions and Compiler Implementation

Li Chen, Lei Liu, Shenglin Tang, Lei Huang, Zheng Jing, Shixiong Xu, Dingfei Zhang, Baojiang Shou

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Tags: Computer science, CUDA, GPU cluster, High-level Languages, MPI, nVidia, nVidia GeForce 9800 GX2

July 1, 2011 by hgpu

High Resolution Program Flow Visualization of Hardware Accelerated Hybrid Multi-core Applications

Daniel Hackenberg, Guido Juckeland, Holger Brunst

Tags: Cell processor, Computer science, CUDA, Flow analysis, MPI, nVidia, Visualization

June 30, 2011 by hgpu

Accelerating Smith-Waterman Local Sequence Alignment on GPU Cluster

Thuy T. Nguyen, Duc H. Nguyen, Phong H. Pham, Ngoc M. Ta, Tan N. Duong, Hung D. Le

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Tags: Bioinformatics, Biology, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 295, Sequence alignment, Smith-Waterman algorithm, Tesla C1060

June 27, 2011 by hgpu

Efficient implementation of the overlap operator on multi-GPUs

Andrei Alexandru, Michael Lujan, Craig Pelissier, Ben Gamari, Frank X. Lee

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Tags: GPU cluster, High Energy Physics - Lattice, MPI, nVidia, Performance, Physics, Tesla M2070

June 27, 2011 by hgpu

Brownian dynamics simulations on CPU and GPU with BD_BOX

Maciej Dlugosz, Pawel Zielinski, Joanna Trylska

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Tags: Chemistry, CUDA, Molecular dynamics, MPI, nVidia, OpenMP, Package

June 16, 2011 by hgpu

A framework for parallel unstructured grid applications on GPUs

Mike Giles

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Tags: Code generation, Computer science, CUDA, GPU cluster, MPI, nVidia, OpenCL, OpenMP, Package, PDEs, Presentation

June 5, 2011 by hgpu

Multiple-GPUs Algorithm for Lattice Boltzmann Method

Jifu Zhou, Chengwen Zhong, Jianfei Xie, Shiqun Yin

Tags: Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, OpenGL, Rendering

June 3, 2011 by hgpu

Spherical harmonic transform on heterogeneous architectures using hybrid programming

Mikolaj Szydlarski, Pierre Esterie, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, Tesla S1070

June 2, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

Experiences with hybrid clusters

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Hybrid OpenCL: Enhancing OpenCL for Distributed Processing

RTSL: a Ray Tracing Shading Language

Unified Parallel C for GPU Clusters: Language Extensions and Compiler Implementation

High Resolution Program Flow Visualization of Hardware Accelerated Hybrid Multi-core Applications

Accelerating Smith-Waterman Local Sequence Alignment on GPU Cluster

Efficient implementation of the overlap operator on multi-GPUs

Brownian dynamics simulations on CPU and GPU with BD_BOX

A framework for parallel unstructured grid applications on GPUs

Multiple-GPUs Algorithm for Lattice Boltzmann Method

Spherical harmonic transform on heterogeneous architectures using hybrid programming

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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