high performance computing on graphics processing units: hgpu.org

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Efficient implementation of GPGPU synchronization primitives on CPUs

Jayanth Gummaraju, Ben Sander, Laurent Morichetti, Benedict Gaster, Lee Howes

Tags: Computer science, OpenCL, Performance, Programming techniques

August 23, 2011 by hgpu

Floating-point data compression at 75 Gb/s on a GPU

Molly A. O'Neil, Martin Burtscher

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce FX 5600, Package, Performance, Programming techniques

August 22, 2011 by hgpu

Towards metaprogramming for parallel systems on a chip

Lee Howes, Anton Lokhmotov, Alastair F. Donaldson, Paul H.J. Kell

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques

August 22, 2011 by hgpu

Load Balancing versus Occupancy Maximization on Graphics Processing Units: The Generalized Hough Transform as a Case Study

Juan Gomez-Luna, Jose Maria Gonzalez-Linares, Jose Ignacio Benavides, Emilio L. Zapata, Nicolas Guil

Tags: Computer science, CUDA, Image processing, nVidia, Programming techniques

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

Mind the gap!: bridging the dichotomy of design and implementation

Donna Kaminskyj Long, Liam Kiemele, Celina Gibbs, Andrew Brownsword, Yvonne Coady

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Tags: Computer science, Linear Algebra, OpenCL, Performance, Presentation, Programming techniques

August 21, 2011 by hgpu

A new method for GPU based irregular reductions and its application to k-means clustering

Balaji Dhanasekaran, Norman Rubin

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, Data mining, Heterogeneous systems, OpenCL, Performance, Programming techniques

August 21, 2011 by hgpu

GRace: a low-overhead mechanism for detecting data races in GPU programs

Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawal

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Tags: Algorithms, Computer science, CUDA, nVidia, Programming techniques, Tesla C1060

August 20, 2011 by hgpu

Extending abstract GPU APIs to shared memory

Ferosh Jacob

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenCL, OpenMP, Presentation, Programming Languages, Programming techniques

August 19, 2011 by hgpu

Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

Usman Dastgeer, Johan Enmyren, Christoph W. Kessler

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Tags: Computer science, CUDA, Data parallelism, nVidia, OpenCL, OpenMP, Package, Performance, Programming techniques, Tesla C1060

August 19, 2011 by hgpu

SkePU: a multi-backend skeleton programming library for multi-GPU systems

Johan Enmyren, Christoph W. Kessler

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Tags: Computer science, CUDA, Data parallelism, nVidia, OpenCL, OpenMP, Package, Performance, Programming techniques, Tesla C1060

August 18, 2011 by hgpu

ATI Stream Profiler: a tool to optimize an OpenCL kernel on ATI Radeon GPUs

Budirijanto Purnomo, Norman Rubin, Michael Houston

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Tags: ATI, ATI Radeon HD 5870, Computer science, OpenCL, Performance, Programming techniques

August 18, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Efficient implementation of GPGPU synchronization primitives on CPUs

Floating-point data compression at 75 Gb/s on a GPU

Towards metaprogramming for parallel systems on a chip

Load Balancing versus Occupancy Maximization on Graphics Processing Units: The Generalized Hough Transform as a Case Study

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

Mind the gap!: bridging the dichotomy of design and implementation

A new method for GPU based irregular reductions and its application to k-means clustering

GRace: a low-overhead mechanism for detecting data races in GPU programs

Extending abstract GPU APIs to shared memory

Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

SkePU: a multi-backend skeleton programming library for multi-GPU systems

ATI Stream Profiler: a tool to optimize an OpenCL kernel on ATI Radeon GPUs

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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