high performance computing on graphics processing units: hgpu.org

hgpu.org » Tesla C2050

Many-body quantum chemistry on graphics processing units

A. Eugene DePrince III, Jeff R. Hammond, Stephen K. Gray

View

Tags: Algorithms, Chemistry, Computational chemistry, CUDA, Heterogeneous systems, Matrix multiplication, Molecular modeling, nVidia, Tesla C2050

November 11, 2011 by hgpu

Accelerating the Smoldyn Spatial Stochastic Biochemical Reaction Network Simulator Using GPUs

Denis V. Gladkov, Samuel Alberts, Roshan M. D'Souza, Steven Andrews

View

Download (PDF)

Tags: Algorithms, Biochemistry, Computational Complexity, Computer science, CUDA, nVidia, Tesla C2050

November 11, 2011 by hgpu

Run, Stencil, Run! – A Comparison of Modern Parallel Programming Paradigms

Helmar Burkhart, Matthias Christen, Max Rietmann, Madan Sathe, Olaf Schenk

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, OpenMP, Tesla C2050

November 10, 2011 by hgpu

PATUS: A Code Generation and Auto-Tuning Framework For Parallel Stencil Computations

Matthias Christen, Olaf Schenk, Helmar Burkhart

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, CUDA, nVidia, Optimization, Package, Tesla C2050

November 8, 2011 by hgpu

Performance analysis of a hybrid MPI/CUDA implementation of the NASLU benchmark

S.J. Pennycook, S.D. Hammond, S.A. Jarvis, G.R. Mudalige

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9400 GT, Operating systems, Performance, Tesla C1060, Tesla C2050, Tesla T10

November 8, 2011 by hgpu

High performance massively parallel direct N-body simulations on large GPU clusters

Peter Berczik, Keigo Nitadori, Shiyan Zhong, Rainer Spurzem, Tsuyoshi Hamada, Xiaowei Wang, Ingo Berentzen, Alexander Veles, Wei Ge

View

Download (PDF)

Tags: Astrophysics, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Tesla C1060, Tesla C2050

November 8, 2011 by hgpu

GPUinspiral – a low-latency, high-performance implementation of the matched-filter gravitational wave search algorithm

G. Debreczeni, B. Somhegyi

View

Download (PDF)

Source codes

Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 5970, Filtering, Gravitation, nVidia, nVidia GeForce GTX 295, OpenCL, Package, Tesla C2050

November 7, 2011 by hgpu

Acceleration of physics simulation engine through OpenCL

Jorge Miguel Raposeira Lagarto

View

Download (PDF)

Tags: Algorithms, Collision detection, nVidia, nVidia Quadro FX 3800, OpenCL, Physics-based simulation, Tesla C2050

November 7, 2011 by hgpu

Transformation of Scientific Algorithms to Parallel Computing Code: Single GPU and MPI multi GPU Backends with Subdomain Support

Bjorn Meyer, Christian Plessl, Jens Forstner

View

Download (PDF)

Tags: Algorithms, Code generation, CUDA, FPGA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 480, Tesla C2050

November 5, 2011 by hgpu

Improving CUDASW++, a Parallelization of Smith-Waterman for CUDA Enabled Devices

Doug Hains, Zach Cashero, Mark Ottenberg, Wim Bohm, Sanjay Rajopadhye

View

Download (PDF)

Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm, Tesla C1060, Tesla C2050

November 5, 2011 by hgpu

VASP on a GPU: application to exact-exchange calculations of the stability of elemental boron

Maxwell Hutchinson, Michael Widom

View

Download (PDF)

Tags: Computational chemistry, Computational Physics, Condensed matter, CUDA, nVidia, Physics, Tesla C2050, Tesla C2075

November 4, 2011 by hgpu

Performance Portability of a GPU Enabled Factorization with the DAGuE Framework

George Bosilca, Aurelien Bouteiller, Thomas Herault, Pierre Lemarinier, Narapat Ohm Saengpatsa, Stanimire Tomov, Jack J. Dongarra

View

Download (PDF)

Tags: Computer science, Factorization, GPU cluster, Heterogeneous systems, Linear Algebra, nVidia, Performance, Tesla C1060, Tesla C2050, Tesla S1070

November 3, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Many-body quantum chemistry on graphics processing units

Accelerating the Smoldyn Spatial Stochastic Biochemical Reaction Network Simulator Using GPUs

Run, Stencil, Run! – A Comparison of Modern Parallel Programming Paradigms

PATUS: A Code Generation and Auto-Tuning Framework For Parallel Stencil Computations

Performance analysis of a hybrid MPI/CUDA implementation of the NASLU benchmark

High performance massively parallel direct N-body simulations on large GPU clusters

GPUinspiral – a low-latency, high-performance implementation of the matched-filter gravitational wave search algorithm

Acceleration of physics simulation engine through OpenCL

Transformation of Scientific Algorithms to Parallel Computing Code: Single GPU and MPI multi GPU Backends with Subdomain Support

Improving CUDASW++, a Parallelization of Smith-Waterman for CUDA Enabled Devices

VASP on a GPU: application to exact-exchange calculations of the stability of elemental boron

Performance Portability of a GPU Enabled Factorization with the DAGuE Framework

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)