high performance computing on graphics processing units: hgpu.org

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Scaling Lattice QCD beyond 100 GPUs

R. Babich, M. A. Clark, B. Joo, G. Shi, R. C. Brower, S. Gottlieb

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Tags: Computational Physics, CUDA, GPU cluster, High Energy Physics - Lattice, nVidia, OpenMPI, Package, Physics, QCD, Tesla M2050

September 15, 2011 by hgpu

Data-intensive document clustering on graphics processing unit (GPU) clusters

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, GPU cluster, nVidia, nVidia GeForce GTX 280, Tesla C1060

September 13, 2011 by hgpu

High-performance Computing in China: Research and Applications

Ninghui Sun, David Kahaner, Debbie Chen

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Tags: Computer science, GPU cluster, Hardware Architecture, Performance, Review

September 12, 2011 by hgpu

Sort-First Parallel Volume Rendering

Brendan Moloney, Marco Ament, Daniel Weiskopf, Torsten Moller

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Tags: Algorithms, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 285, OpenGL, Rendering, Visualization

September 4, 2011 by hgpu

TH-1: China’s first petaflop supercomputer

Xuejun Yang, Xiangke Liao, Weixia Xu, Junqiang Song, Qingfeng Hu, Jinshu Su, Liquan Xiao, Kai Lu, Qiang Dou, Juping Jiang, Canqun Yang

Tags: ATI, ATI Radeon HD 4870, Computer science, GPU cluster, Hardware Architecture, Heterogeneous systems

August 25, 2011 by hgpu

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

Linchuan Li, Xingjian Li, Guangming Tan, Mingyu Chen, Peiheng Zhang

Tags: Algorithms, Computer science, Cryo-EM, CUDA, Data parallelism, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050

August 24, 2011 by hgpu

The VRE volume rendering engine

Michal Hucko, Michal Vanek, Milos Sramek

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Tags: Computer science, GPU cluster, OpenGL, Rendering, Visualization

August 22, 2011 by hgpu

A programming model for GPU-based parallel computing with scalability and abstraction

Balazs Domonkos, Gabor Jakab

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Tags: 3D Graphics and Realism, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, OpenMP, Programming techniques

August 22, 2011 by hgpu

Maestro: Data Orchestration and Tuning for OpenCL Devices

Kyle Spafford, Jeremy Meredith, Jeffrey Vetter

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Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Performance, Tesla C1060, Tesla S1070

August 18, 2011 by hgpu

Optimizing the exploitation of multicore processors and GPUs with OpenMP and OpenCL

Roger Ferrer, Judit Planas, Pieter Bellens, Alejandro Duran, Marc Gonzalez, Xavier Martorell, Rosa M. Badia, Eduard Ayguade, Jesus Labarta

Tags: Cell processor, Computer science, CUDA, GPU cluster, nVidia, OpenCL, OpenMP, Programming techniques

August 18, 2011 by hgpu

Equalizer: A Scalable Parallel Rendering Framework

Stefan Eilemann, Maxim Makhinya, Renato Pajarola

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Tags: 3D Graphics and Realism, Computer science, GPU cluster, nVidia, nVidia GeForce 7800 GTX, nVidia Quadro FX 4500, OpenGL, Package, Rendering, Visualization

August 15, 2011 by hgpu

Calculation of fermion loops for eta-prime and nucleon scalar and electromagnetic form factors

C. Alexandrou, K. Hadjiyiannakou, G. Koutsou, A. 'O Cais, A. Strelchenko

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, High Energy Physics - Phenomenology, Monte Carlo simulation, Nuclear Theory, nVidia, Physics

August 12, 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

Scaling Lattice QCD beyond 100 GPUs

Data-intensive document clustering on graphics processing unit (GPU) clusters

High-performance Computing in China: Research and Applications

Sort-First Parallel Volume Rendering

TH-1: China’s first petaflop supercomputer

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

The VRE volume rendering engine

A programming model for GPU-based parallel computing with scalability and abstraction

Maestro: Data Orchestration and Tuning for OpenCL Devices

Optimizing the exploitation of multicore processors and GPUs with OpenMP and OpenCL

Equalizer: A Scalable Parallel Rendering Framework

Calculation of fermion loops for eta-prime and nucleon scalar and electromagnetic form factors

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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