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Input Sensitivity of GPU Program Optimizations

Yixun Liu, Eddy Z. Zhang, Poornima Bhamidipati, Xipeng Shen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, OpenCL, Optimization, Performance, Tesla C1060

October 13, 2011 by hgpu

gpustats: GPU Library for Statistical Computing in Python

Andrew Cron, Wes McKinney

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Tags: Algorithms, Bayesian, Code generation, CUDA, Mathematics, nVidia, nVidia GeForce GTS 250, OpenCL, Package, Probability, Python, Statistics

October 13, 2011 by hgpu

Developing a High Performance GPGPU Compiler Using Cetus

Yi Yang, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 5870, Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization

October 13, 2011 by hgpu

PlinkGPU: A Framework for GPU Acceleration of Whole Genome Data Analysis

Jeffrey Poznanovic

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, OpenCL, Tesla S1070

October 13, 2011 by hgpu

State of The Art Report on GPU

Rita Borgo, Ken Brodlie

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Tags: Computer science, CUDA, DirectX, GLSL, GPU cluster, Hardware, HLSL, Larrabee, nVidia, OpenGL, Programming techniques, Review

October 13, 2011 by hgpu

Ray Tracing on Graphics Hardware

Toshiya Hachisuka

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Tags: Algorithms, Computer science, CUDA, nVidia, Raytracing, Review

October 12, 2011 by hgpu

General purpose computing on graphics processing units using OpenCL

Mats Johansson, Oscar Winter

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Tags: Algorithms, ATI, ATI Radeon HD 4870, ATI Stream, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 480, OpenCL, Optical flow, Optimization, Thesis

October 12, 2011 by hgpu

Evaluating performance and portability of OpenCL programs

Kazuhiko Komatsu, Katsuto Sato, Yusuke Arai, Kentaro Koyama, Hiroyuki Takizawa, Hiroaki Kobayashi

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, CUDA, nVidia, OpenCL, Optimization, Performance, PTX, Tesla C1060

October 12, 2011 by hgpu

Fast Surface Extraction and Visualization of Medical Images using OpenCL and GPUs

Erik Smistad, Anne C. Elster, Frank Lindseth

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Tags: Algorithms, Computer science, CUDA, Medicine, nVidia, nVidia GeForce GTX 460, OpenCL, Package, Rendering, Visualization

October 11, 2011 by hgpu

PyPs, a programmable pass manager

Serge Guelton, Mehdi Amini, Ronan Keryell, Beatrice Creusillet

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Tags: Compilers, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, OpenMP

October 11, 2011 by hgpu

High Performance Parallel Design Based on Session Programming

Nicholas Ng

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Tags: Algorithms, Computer science, CUDA, FPGA, Heterogeneous systems, Java, N-body simulation, nVidia, Package, Performance, Tesla, Thesis

October 11, 2011 by hgpu

Static Compilation Analysis for Host-Accelerator Communication Optimization

Mehdi Amini, Fabien Coelho, Francois Irigoin, Ronan Keryell

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Tags: Benchmarking, Computer science, CUDA, Numerical simulation, nVidia, OpenMP, Optimization, Package, Tesla C2050

October 11, 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

Input Sensitivity of GPU Program Optimizations

gpustats: GPU Library for Statistical Computing in Python

Developing a High Performance GPGPU Compiler Using Cetus

PlinkGPU: A Framework for GPU Acceleration of Whole Genome Data Analysis

State of The Art Report on GPU

Ray Tracing on Graphics Hardware

General purpose computing on graphics processing units using OpenCL

Evaluating performance and portability of OpenCL programs

Fast Surface Extraction and Visualization of Medical Images using OpenCL and GPUs

PyPs, a programmable pass manager

High Performance Parallel Design Based on Session Programming

Static Compilation Analysis for Host-Accelerator Communication Optimization

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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