high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Evaluation of Fermi Features for Data Mining Algorithms

Sinduja Muralidharan

View

Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, Nearest neighbour, nVidia, Tesla C1060, Tesla C2050, Thesis

December 2, 2011 by hgpu

A programming language interface to describe transformations and code generation

Gabe Rudy, Malik Murtaza Khan, Mary Hall, Chun Chen, Jacqueline Chame

View

Download (PDF)

Tags: Algorithms, Code generation, Computer science, CUBLAS, CUDA, MPI, nVidia, nVidia GeForce GTX 280, Tesla C2050

December 1, 2011 by hgpu

GPU Acceleration of Solving Parabolic Partial Differential Equations Using Difference Equations

David L. Foster

View

Download (PDF)

Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 480, Optimization, Partial differential equations, PDEs, Tesla C1060

December 1, 2011 by hgpu

Scalable Data Clustering using GPU Clusters

Andrew Pangborn, Gregor von Laszewski, James Cavenaugh, Muhammad Shaaban, Roy Melton

View

Download (PDF)

Tags: Algorithms, Cloud, Clustering, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 260, OpenMP, Tesla C1060

December 1, 2011 by hgpu

Architecture-Aware Algorithms and Software for Peta and Exascale Computing

Jack J. Dongarra

View

Download (PDF)

Tags: Algorithms, Computer science, Mixed precision, MPI, Review

November 30, 2011 by hgpu

Using CUDA for Exhaustive Password Recovery

Tore Kasper Frederiksen

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9400 M, nVidia GeForce GTX 480, Package, Security

November 30, 2011 by hgpu

Optimization of the Particle-based Volume Rendering for GPUs with Hiding Data Transfer Latency

Kyoko Nakao, Erika Matsui, Naoko Yoshii, Masami Takata, Kazuki Joe

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, Optimization, Rendering, Tesla C1060

November 30, 2011 by hgpu

Performance and numerical accuracy evaluation of heterogeneous multicore systems for Krylov orthogonal basis computation

Jerome Dubois, Christophe Calvin, Serge Petiton

View

Download (PDF)

Tags: Cell processor, Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Performance, Tesla C1060

November 30, 2011 by hgpu

Applications Performance on GPGPUs with the Fermi Architecture

Ahmed Mohamed Hassan Abdalla

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8400 GS, Performance, Tesla C2050, Tesla M1060, Thesis

November 29, 2011 by hgpu

Dynamic Task Parallelism with a GPU Work-Stealing Runtime System

Sanjay Chatterjee, Max Grossman, Alina Sbirlea, Vivek Sarkar

View

Download (PDF)

Tags: Computer science, CUDA, Data parallelism, nVidia, Task scheduling, Tesla C2050

November 29, 2011 by hgpu

Directives Based Programming of GPU Accelerated Systems

Saif Mulla

View

Download (PDF)

Tags: Computer science, CUDA, Molecular dynamics, nVidia, Programming techniques, Tesla C2050, Thesis

November 29, 2011 by hgpu

Enabling Efficient Online Profiling of Homogeneous and Heterogeneous Multicore Systems

Dan Upton

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Thesis

November 29, 2011 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

Evaluation of Fermi Features for Data Mining Algorithms

A programming language interface to describe transformations and code generation

GPU Acceleration of Solving Parabolic Partial Differential Equations Using Difference Equations

Architecture-Aware Algorithms and Software for Peta and Exascale Computing

Using CUDA for Exhaustive Password Recovery

Optimization of the Particle-based Volume Rendering for GPUs with Hiding Data Transfer Latency

Performance and numerical accuracy evaluation of heterogeneous multicore systems for Krylov orthogonal basis computation

Applications Performance on GPGPUs with the Fermi Architecture

Dynamic Task Parallelism with a GPU Work-Stealing Runtime System

Directives Based Programming of GPU Accelerated Systems

Enabling Efficient Online Profiling of Homogeneous and Heterogeneous Multicore Systems

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)