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Parallel Branch Prediction on GPU Platform

Liqiang He, Guangyong Zhang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9600 GT, Programming techniques

December 22, 2010 by hgpu

Pushing the Envelope: Extreme Network Coding on the GPU

Hassan Shojania, Baochun Li

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

December 22, 2010 by hgpu

GPU Acceleration of Iterative Clustering

Jesse D. Hall, John C. Hart

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce FX 5900 Ultra, OpenGL, Programming techniques

December 21, 2010 by hgpu

GPU-based parallelization for fast circuit optimization

Yifang Liu, Jiang Hu

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Tags: Computer science, CUDA, Hardware, nVidia, nVidia GeForce 9800 GT, Programming techniques

December 19, 2010 by hgpu

Large-scale FFT on GPU clusters

Yifeng Chen, Xiang Cui, Hong Mei

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 285, Programming techniques, Tesla C1060

December 18, 2010 by hgpu

GPU Parallelization of Algebraic Dynamic Programming

Peter Steffen, Robert Giegerich, Mathieu Giraud

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Source codes

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

December 17, 2010 by hgpu

Revolutionary technologies for acceleration of emerging petascale applications

Rupak Biswas, Leonid Oliker and Jeffrey Vetter

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Tags: Computer science, Programming techniques

December 16, 2010 by hgpu

OpenMP to GPGPU: a compiler framework for automatic translation and optimization

Seyong Lee, Seung-Jai Min, and Rudolf Eigenman

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia Quadro FX 5600, OpenMP, Programming techniques

December 15, 2010 by hgpu

Scalable Programming Models for Massively Multicore Processors

M. D. McCool

Tags: Cell processor, Computer science, Programming techniques

December 14, 2010 by hgpu

OpenMP in Multicore Architectures (tech. report)

Venkatesan Packirisamy, Harish Barathvajasankar

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Tags: Computer science, OpenMP, Programming techniques, Review

December 14, 2010 by hgpu

OpenMP on Multicore Architectures

Christian Terboven, Dieter An Mey, Samuel Sarholz

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Tags: Computer science, OpenMP, Programming techniques, Review

December 14, 2010 by hgpu

Embracing Heterogeneity: Parallel Programming for Changing Hardware

Michael D. Linderman, James Balfour, Teresa H. Meng, William J. Dally

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Tags: Architecture, Computer science, Programming techniques

December 13, 2010 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

Parallel Branch Prediction on GPU Platform

Pushing the Envelope: Extreme Network Coding on the GPU

GPU Acceleration of Iterative Clustering

GPU-based parallelization for fast circuit optimization

Large-scale FFT on GPU clusters

GPU Parallelization of Algebraic Dynamic Programming

Revolutionary technologies for acceleration of emerging petascale applications

OpenMP to GPGPU: a compiler framework for automatic translation and optimization

Scalable Programming Models for Massively Multicore Processors

OpenMP in Multicore Architectures (tech. report)

OpenMP on Multicore Architectures

Embracing Heterogeneity: Parallel Programming for Changing Hardware

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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