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OpenMPC: Extended OpenMP Programming and Tuning for GPUs

Seyong Lee, Rudolf Eigenmann

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia Quadro FX 5600, OpenMP

April 23, 2011 by hgpu

Using parallel GPU architecture for simulation of planar I/F networks

Jan-Phillip Tiesel, Anthony S. Maida

Tags: Computer science, Neural networks, Shaders

April 23, 2011 by hgpu

Scalable software defined receivers running on desktop computers using General Purpose Graphics Processing Units

P. Szegvari, C. Hentschel

Tags: Computational Engineering, Computer science

April 22, 2011 by hgpu

High-Speed Private Information Retrieval Computation on GPU

Carlos Aguilar Melchor, Benoit Crespin, Philippe Gaborit, Vincent Jolivet, Pierre Rousseau

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Tags: Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, nVidia GeForce 8800 Ultra, Package

April 22, 2011 by hgpu

MITHRA: Multiple data independent tasks on a heterogeneous resource architecture

Reza Farivar, Abhishek Verma, Ellick M. Chan, Roy H. Campbell

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce 9800 GX2, nVidia Quadro FX 570

April 22, 2011 by hgpu

Scalable Clustering Using Graphics Processors

Feng Cao, Anthony Tung, Aoying Zhou

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Tags: Algorithms, Cg, Clustering, Computer science, nVidia, nVidia GeForce 6800 GT, OpenGL

April 22, 2011 by hgpu

Pretty Good Accuracy in Matrix Multiplication with GPUs

Matthew Badin, Lubomir Bic, Michael Dillencourt, Alexandru Nicolau

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 285

April 21, 2011 by hgpu

Using graphics processors to accelerate the computation of the matrix inverse

P. Ezzatti, E. Quintana-Orti, A. Remon

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Tags: Computer science, Linear Algebra, Matrix inversion

April 21, 2011 by hgpu

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Dominik Grewe, Anton Lokhmotov

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Tags: ATI, ATI Radeon HD 5970, Code generation, Computer science, CUDA, High-level Languages, Linear Algebra, nVidia, OpenCL, Sparse matrix, Tesla S1070

April 21, 2011 by hgpu

Automatically Tuning Sparse Matrix-Vector Multiplication for GPU Architectures

Alexander Monakov, Anton Lokhmotov, Arutyun Avetisyan

Tags: Computer science, Partial differential equations, PDEs, Sparse matrix

April 21, 2011 by hgpu

Solving knapsack problems on GPU

V. Boyer, D. El Baz, M. Elkihel

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Optimization

April 21, 2011 by hgpu

Auto-Tuning CUDA Parameters for Sparse Matrix-Vector Multiplication on GPUs

Ping Guo, Liqiang Wang

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce 9500 GTX, nVidia GeForce GTX 295, Sparse matrix

April 21, 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

Applications

OpenMPC: Extended OpenMP Programming and Tuning for GPUs

Using parallel GPU architecture for simulation of planar I/F networks

Scalable software defined receivers running on desktop computers using General Purpose Graphics Processing Units

High-Speed Private Information Retrieval Computation on GPU

MITHRA: Multiple data independent tasks on a heterogeneous resource architecture

Scalable Clustering Using Graphics Processors

Pretty Good Accuracy in Matrix Multiplication with GPUs

Using graphics processors to accelerate the computation of the matrix inverse

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Automatically Tuning Sparse Matrix-Vector Multiplication for GPU Architectures

Solving knapsack problems on GPU

Auto-Tuning CUDA Parameters for Sparse Matrix-Vector Multiplication on 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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