high performance computing on graphics processing units: hgpu.org

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Multifrontal Sparse Matrix Factorization on Graphics Processing Units

Robert F. Lucas, Gene Wagenbreth, John J. Tran, Dan M. Davis

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Tags: Computer science, CUDA, Factorization, nVidia, nVidia GeForce 8800, Sparse matrix

January 25, 2012 by hgpu

TAP: A TLP-Aware Cache Management Policy for a CPU-GPU Heterogeneous Architecture

Jaekyu Lee, Hyesoon Kim

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Tags: Computer science, Heterogeneous systems, Memory, Performance

January 25, 2012 by hgpu

Parallel Algorithm Design and Implementation of Regular/Irregular Problems: An In-depth Performance Study on Graphics Processing Units

Steven Solomon

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Optimization, Thesis

January 25, 2012 by hgpu

Realtime scheduling using GPUs – proof of feasibility

Peter Fodrek, Ludovit Farkas, Tomas Murgas

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Tags: Benchmarking, Computer science, nVidia, nVidia GeForce GT 310 M, OpenCL, Task scheduling

January 25, 2012 by hgpu

GPU algorithms for comparison-based sorting and for merging based on multiway selection

Nikolaj Leischner

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, OpenCL, Sorting, Thesis

January 25, 2012 by hgpu

The GPU Enhanced Parallel Computing for Large Scale Data Clustering

Xiaohui Cui, Jesse St. Charles, Justin Beaver, Thomas E. Potok

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Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX

January 24, 2012 by hgpu

GPApriori: GPU-Accelerated Frequent Itemset Mining

Fan Zhang, Yan Zhang, Jason Bakos

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, Tesla S1070

January 24, 2012 by hgpu

Designing Fast LTL Model Checking Algorithms for Many-Core GPUs

Jiri Barnat, Petr Bauch, Lubos Brim, and Milan Ceska

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 480, Probabilistic model checking

January 24, 2012 by hgpu

Real-Time Photon Mapping on GPU

Sanket Gupte

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Tags: 3D Graphics and Realism, Computer science, CUDA, Hashing, nVidia, Raytracing, Real-time graphics

January 24, 2012 by hgpu

Multipattern String Matching On A GPU

Xinyan Zha, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 200, String matching

January 24, 2012 by hgpu

GPGPU and Multi-Core Architectures for Computing Clustering Coefficients of Irregular Graphs

A. Leist, K.A. Hawick, D.P. Playne

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Tags: Algorithms, Cell processor, Clustering, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480

January 24, 2012 by hgpu

Cost Efficient PageRank Computation using GPU

Praveen K., Vamshi Krishna K., Anil Sri Harsha B., S. Balasubramanian, P.K. Baruah

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Tags: Algorithms, Computer science, CUBLAS, CUDA, List ranking, nVidia, Sparse matrix, Tesla T20

January 24, 2012 by hgpu

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

Unified schemes for directive-based GPU offloading

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

See all packages

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high performance computing on graphics processing units: hgpu.org

Multifrontal Sparse Matrix Factorization on Graphics Processing Units

TAP: A TLP-Aware Cache Management Policy for a CPU-GPU Heterogeneous Architecture

Parallel Algorithm Design and Implementation of Regular/Irregular Problems: An In-depth Performance Study on Graphics Processing Units

Realtime scheduling using GPUs – proof of feasibility

GPU algorithms for comparison-based sorting and for merging based on multiway selection

The GPU Enhanced Parallel Computing for Large Scale Data Clustering

GPApriori: GPU-Accelerated Frequent Itemset Mining

Designing Fast LTL Model Checking Algorithms for Many-Core GPUs

Real-Time Photon Mapping on GPU

Multipattern String Matching On A GPU

GPGPU and Multi-Core Architectures for Computing Clustering Coefficients of Irregular Graphs

Recent source codes

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

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