high performance computing on graphics processing units: hgpu.org

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Exploiting Computational Resources in Distributed Heterogeneous Platforms

George Teodoro, Rafael Sachetto, Daniel Fireman, Dorgival Guedes, Renato Ferreira

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 260

April 16, 2011 by hgpu

3-SAT on CUDA: Towards a massively parallel SAT solver

Quirin Meyer, Fabian Schonfeld, Marc Stamminger, Rolf Wanka

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 285, SAT

April 16, 2011 by hgpu

Record Setting Software Implementation of DES Using CUDA

G. Agosta, A. Barenghi, F. De Santis, G. Pelosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 250, nVidia GeForce GTX 260, nVidia GeForce GTX 275, nVidia GeForce GTX 285, nVidia GeForce GTX 295, Security

April 8, 2011 by hgpu

Parallel Exact Inference on a CPU-GPGPU Heterogenous System

Hyeran Jeon, Yinglong Xia, Viktor K. Prasanna

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 260

April 4, 2011 by hgpu

Higher order FEM numerical integration on GPUs with OpenCL

Przemyslaw Plaszewski, Krzysztof Banas, Pawel Maciol

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 275, nVidia GeForce GTX 285, OpenCL

April 1, 2011 by hgpu

Implementation of Smith-Waterman Algorithm in OpenCL for GPUs

Dzmitry Razmyslovich, Guillermo Marcus, Markus Gipp, Marc Zapatka, Andreas Szillus

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, OpenCL, Poster, Sequence alignment, Smith-Waterman algorithm

March 31, 2011 by hgpu

CUDACL: A tool for CUDA and OpenCL programmers

Ferosh Jacob, David Whittaker, Sagar Thapaliya, Purushotham Bangalore, Marjan Mernik, Jeff Gray

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Tags: Computer science, CUDA, High-level Languages, Java, nVidia, nVidia GeForce GTX 260, OpenCL

March 31, 2011 by hgpu

GPU-Based Fast Minimum Spanning Tree Using Data Parallel Primitives

Wei Wang, Shaozhong Guo, Fan Yang, Jianxun Chen

Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 260

March 28, 2011 by hgpu

FPGA vs. GPU for sparse matrix vector multiply

Yan Zhang, Yasser H. Shalabi, Rishabh Jain, Krishna K. Nagar, Jason D. Bakos

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Tags: Computer science, CUDA, FPGA, Linear Algebra, nVidia, nVidia GeForce GTX 260, Sparse matrix

March 18, 2011 by hgpu

Empowering Visual Categorization With the GPU

Koen E. A. Van De Sande, Theo Gevers, Cees G. M. Snoek

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Tags: CUDA, Image processing, Information Retrieval, nVidia, nVidia GeForce GTX 260

March 12, 2011 by hgpu

Application-guided tool development for architecturally diverse computation

Roger D. Chamberlain, Jeremy Buhler, Mark A. Franklin, James H. Buckley

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Tags: Algorithms, Astrophysics, Biology, Computer science, CUDA, Finance, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Search, Security

March 7, 2011 by hgpu

Design and implementation of MPEG audio layer III decoder using graphics processing units

Chen Xiaoliang, Zheng Chengshi, Ma Longhua, Cheng Xiaobin, Li Xiaodong

Tags: CUDA, nVidia, nVidia GeForce GTX 260, Signal processing

March 6, 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

Exploiting Computational Resources in Distributed Heterogeneous Platforms

3-SAT on CUDA: Towards a massively parallel SAT solver

Record Setting Software Implementation of DES Using CUDA

Parallel Exact Inference on a CPU-GPGPU Heterogenous System

Higher order FEM numerical integration on GPUs with OpenCL

Implementation of Smith-Waterman Algorithm in OpenCL for GPUs

CUDACL: A tool for CUDA and OpenCL programmers

GPU-Based Fast Minimum Spanning Tree Using Data Parallel Primitives

FPGA vs. GPU for sparse matrix vector multiply

Empowering Visual Categorization With the GPU

Application-guided tool development for architecturally diverse computation

Design and implementation of MPEG audio layer III decoder using graphics processing units

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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