high performance computing on graphics processing units: hgpu.org

hgpu.org » Benchmarking

Parallel Benefit on Different Programming Paradigms

Chau-Yi Chou, Sheng-Hsiu Kuo, Chih-Wei Hsieh, Tsung-Che Tsai, Hsi-Ya Chang

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GT 200, OpenMP, Performance

September 16, 2012 by hgpu

A Parallel Twig Join Algorithm for XML Processing using a GPGPU

Lila Shnaiderman, Oded Shmueli

View

Download (PDF)

Tags: Algorithms, Benchmarking, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480

September 10, 2012 by hgpu

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

Saktheesh Subramoniapillai Ajeetha

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Performance, Tesla C2050, Thesis

September 6, 2012 by hgpu

High performance transcription factor-DNA docking with GPU computing

Jiadong Wu, Bo Hong, Takako Takeda, Jun-tao Guo

View

Download (PDF)

Tags: Algorithms, Benchmarking, Bioinformatics, Biology, CUDA, Genetics, GPU cluster, nVidia, Tesla M2070

August 20, 2012 by hgpu

Performance of FORTRAN and C GPU Extensions for a Benchmark Suite of Fourier Pseudospectral Algorithms

B. Cloutier, B. K. Muite, P. Rigge

View

Download (PDF)

Source codes

Tags: Benchmarking, Computational Physics, CUDA, FFT, Fortran, Mathematical Software, nVidia, OpenACC, Package, Physics, Spectral methods, Tesla M2070

August 14, 2012 by hgpu

OP2: An Active Library Framework for Solving Unstructured Mesh-based Applications on Multi-Core and Many-Core Architectures

G.R. Mudalige, M.B. Giles, I. Reguly, C. Bertolli, P.H.J Kelly

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050, Tesla C2070

August 11, 2012 by hgpu

Comparison of OpenMP & OpenCL Parallel Processing Technologies

Krishnahari Thouti, S.R.Sathe

View

Download (PDF)

Tags: Benchmarking, Computer science, nVidia, nVidia Quadro FX 3800, OpenCL, OpenMP, Performance

August 6, 2012 by hgpu

Bacon: A GPU Programming System With Just in Time Specialization

Nat Tuck

View

Download (PDF)

Source codes

Tags: ATI, ATI Radeon HD 5830, Benchmarking, Computer science, Matrix multiplication, OpenCL

June 23, 2012 by hgpu

Branch and Data Herding: Reducing Control and Memory Divergence for Error-tolerant GPU Applications

John Sartori, Rakesh Kumar

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

June 17, 2012 by hgpu

Measuring the Impact of Configuration Parameters in CUDA Through Benchmarking

Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

June 10, 2012 by hgpu

DMA-Assisted, Intranode Communication in GPU Accelerated Systems

Feng Ji, Ashwin M. Aji, James Dinan, Darius Buntinas, Pavan Balaji, Rajeev Thakur, Wu-Chun Feng, Xiaosong Ma

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, Tesla M2070

June 6, 2012 by hgpu

A new parallelisation technique for heterogeneous CPUs

Youssef Omran Gdura

View

Download (PDF)

Tags: Benchmarking, Code generation, Computer science, Heterogeneous systems, Programming techniques, Thesis

June 5, 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

* * *

high performance computing on graphics processing units: hgpu.org

Parallel Benefit on Different Programming Paradigms

A Parallel Twig Join Algorithm for XML Processing using a GPGPU

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

High performance transcription factor-DNA docking with GPU computing

Performance of FORTRAN and C GPU Extensions for a Benchmark Suite of Fourier Pseudospectral Algorithms

OP2: An Active Library Framework for Solving Unstructured Mesh-based Applications on Multi-Core and Many-Core Architectures

Comparison of OpenMP & OpenCL Parallel Processing Technologies

Bacon: A GPU Programming System With Just in Time Specialization

Branch and Data Herding: Reducing Control and Memory Divergence for Error-tolerant GPU Applications

Measuring the Impact of Configuration Parameters in CUDA Through Benchmarking

DMA-Assisted, Intranode Communication in GPU Accelerated Systems

A new parallelisation technique for heterogeneous CPUs

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

Most viewed papers (last 30 days)