high performance computing on graphics processing units: hgpu.org

hgpu.org » Tesla C1060

An experimental study on performance portability of OpenCL kernels

Sean Rul, Hans Vandierendonck, Joris D'Haene and Koen De Bosschere

View

Download (PDF)

Tags: ATI, ATI FirePro V8700, Cell processor, Computer science, nVidia, OpenCL, Performance, Playstation, Tesla C1060

February 16, 2011 by hgpu

The fast multipole method on parallel clusters, multicore processors, and graphics processing units

Eric Darve, Cris Cecka, Toru Takahashi

View

Download (PDF)

Tags: Algorithms, CUDA, Fast multipole method, Fluid dynamics, nVidia, Tesla C1060, Tesla S1070

February 11, 2011 by hgpu

3D tumor localization through real-time volumetric x-ray imaging for lung cancer radiotherapy

Ruijiang Li, John H. Lewis, Xun Jia, Xuejun Gu, Michael Folkerts, Chunhua Men, William Y. Song, Steve B. Jiang

View

Download (PDF)

Tags: CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Radiotherapy, Tesla C1060

February 9, 2011 by hgpu

Fast Analysis of Molecular Dynamics Trajectories with Graphics Processing Units – Radial Distribution Function Histogramming

Benjamin G. Levine, John E. Stone, Axel Kohlmeyer

View

Download (PDF)

Tags: Chemistry, CUDA, GPU cluster, Molecular dynamics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Tesla C1060, Tesla C2050, Tesla S1070

February 9, 2011 by hgpu

Axel: a heterogeneous cluster with FPGAs and GPUs

Kuen Hung Tsoi, Wayne Luk

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, GPU cluster, Heterogeneous systems, nVidia, OpenMPI, Tesla C1060

February 7, 2011 by hgpu

Evaluating multi-core platforms for HPC data-intensive kernels

Alexander S. van Amesfoort, Ana Lucia Varbanescu, Henk J. Sips, Rob V. van Nieuwpoort

View

Download (PDF)

Tags: Algorithms, Cell processor, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Programming techniques, Tesla C1060

February 6, 2011 by hgpu

NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs

Andreas Fidjeland, Etienne B. Roesch, Murray P. Shanahan, Wayne Luk

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, Package, Tesla C1060

February 5, 2011 by hgpu

Model-driven autotuning of sparse matrix-vector multiply on GPUs

Jee W. Choi, Amik Singh, Richard W. Vuduc

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Performance, Sparse matrix, Tesla C1060, Tesla C870, Tesla T10P

February 5, 2011 by hgpu

QUDA programming for staggered quarks

Steven Gottlieb, Guochun Shi, Aaron Torok, Volodymyr Kindratenko

View

Download (PDF)

Source codes

Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Physics, QCD, Tesla C1060, Tesla C2050, Tesla S1070

February 4, 2011 by hgpu

On testing GPU memory for hard and soft errors

Guochun Shi, Jeremy Enos, Michael Showerman, Volodymyr Kindratenko

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Hardware Architecture, Memory, nVidia, Package, Tesla C1060, Tesla S1070

February 3, 2011 by hgpu

3D Information Extraction Based on GPU

Ying Zhang

View

Download (PDF)

Tags: Computer science, Computer vision, nVidia, nVidia GeForce 8400 M GS, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia Quadro FX 3700, Tesla C1060

February 3, 2011 by hgpu

Data access optimized applications on the GPU using NVIDIA CUDA

Dheevatsa Mudiger

View

Download (PDF)

Tags: Computer science, CUDA, Data Structures and Algorithms, Fluid dynamics, nVidia, Tesla C1060, Tesla C870, Thesis

February 3, 2011 by hgpu

Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics

HexGen: Generative Inference of Large Language Model over Heterogeneous Environment

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs

Ilargi: a GPU Compatible Factorized ML Model Training Framework

MPI-CorrBench 2.0.0

Modernization and Optimization of MPI Codes

VFLog: vertical + gpu + free join + datalog

Column-Oriented Datalog on the GPU

ViVid Project

Exploring data flow design and vectorization with oneAPI for streaming applications on CPU+GPU

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

An experimental study on performance portability of OpenCL kernels

The fast multipole method on parallel clusters, multicore processors, and graphics processing units

3D tumor localization through real-time volumetric x-ray imaging for lung cancer radiotherapy

Fast Analysis of Molecular Dynamics Trajectories with Graphics Processing Units – Radial Distribution Function Histogramming

Axel: a heterogeneous cluster with FPGAs and GPUs

Evaluating multi-core platforms for HPC data-intensive kernels

NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs

Model-driven autotuning of sparse matrix-vector multiply on GPUs

QUDA programming for staggered quarks

On testing GPU memory for hard and soft errors

3D Information Extraction Based on GPU

Data access optimized applications on the GPU using NVIDIA CUDA

Recent source codes

cuSZp: Fast GPU error-bounded lossy compressor for floating-point data

Kokkos C++ Performance Portability Programming EcoSystem

Training-free Post-training Efficient Sub-quadratic Complexity Attention

Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics

HexGen: Generative Inference of Large Language Model over Heterogeneous Environment

Ilargi: a GPU Compatible Factorized ML Model Training Framework

MPI-CorrBench 2.0.0

VFLog: vertical + gpu + free join + datalog

ViVid Project

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

Most viewed papers (last 30 days)