high performance computing on graphics processing units: hgpu.org

hgpu.org » Cell processor

Experiences with Cell-BE and GPU for Tomography

Sander van der Maar, Kees Joost Batenburg, Jan Sijbers

View

Tags: Cell processor, Computed tomography, CT, CUDA, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 9800 GX2

December 22, 2010 by hgpu

Scalable Programming Models for Massively Multicore Processors

M. D. McCool

Tags: Cell processor, Computer science, Programming techniques

December 14, 2010 by hgpu

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

Kaushik Datta, Mark Murphy, Vasily Volkov, Samuel Williams, Jonathan Carter, Leonid Oliker, David Patterson, John Shalf, Katherine Yelick

View

Download (PDF)

Tags: Cell processor, Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 280, Performance

December 14, 2010 by hgpu

High-performance and Hardware-aware Computing: Proceedings of the First International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC’08)

Rainer Buchty, Jan-Philipp Weiss (ed.)

View

Download (PDF)

Tags: Architecture, Cell processor, Computer science, CUDA, nVidia, OpenGL

December 14, 2010 by hgpu

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

Adam Szalkowski, Christian Ledergerber, Philipp Kraehenbuehl, Christophe Dessimoz

View

Download (PDF)

Source codes

Tags: Biology, Cell processor, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Package, Sequence alignment, Smith-Waterman algorithm

December 12, 2010 by hgpu

The impact of accelerator processors for high-throughput molecular modeling and simulation

G. Giupponi, M. Harvey, G. Defabritiis

View

Download (PDF)

Tags: Bioinformatics, Cell processor, Chemistry, Medicine, Molecular modeling, nVidia, Review

December 11, 2010 by hgpu

Mixed Precision Iterative Refinement Techniques for the Solution of Dense Linear Systems

Alfredo Buttari, Jack Dongarra, Julie Langou, Julien Langou, Piotr Luszczek, Jakub Kurzak

View

Download (PDF)

Tags: Algorithms, Cell processor, Computer science, Mixed precision

December 6, 2010 by hgpu

Performance Analysis of IBM Cell Broadband Engine on Sequence Alignment

Yang Song, Gregory M. Striemer, Ali Akoglu

View

Download (PDF)

Tags: Bioinformatics, Biology, Cell processor, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm, Tesla C870

November 27, 2010 by hgpu

Novel Computing Architectures

Volodymyr Kindratenko

Tags: Cell processor, Computer science, FPGA, Review

November 25, 2010 by hgpu

RapidMind: Portability across Architectures and its Limitations

Iris Christadler, Volker Weinberg

View

Download (PDF)

Tags: Cell processor, Computer science, CUDA, nVidia, Performance, Programming Languages, Tesla C1060, Tesla S1070

November 12, 2010 by hgpu

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

Bijia Pang, Ue-li Pen, Michael Perrone

View

Download (PDF)

Tags: Astrophysics, ATI, ATI Radeon HD 5870, Cell processor, Computational Physics, CUDA, Electrodynamics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 260, OpenCL, OpenMP, Performance

November 11, 2010 by hgpu

Numerical modeling of gravitational wave sources accelerated by OpenCL

Gaurav Khanna, Justin McKennon

View

Download (PDF)

Tags: Cell processor, Computational Physics, General Relativity and Quantum Cosmology, Gravitation, nVidia, OpenCL, Physics, Tesla C1060

November 9, 2010 by hgpu

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Experiences with Cell-BE and GPU for Tomography

Scalable Programming Models for Massively Multicore Processors

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

High-performance and Hardware-aware Computing: Proceedings of the First International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC’08)

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

The impact of accelerator processors for high-throughput molecular modeling and simulation

Mixed Precision Iterative Refinement Techniques for the Solution of Dense Linear Systems

Performance Analysis of IBM Cell Broadband Engine on Sequence Alignment

Novel Computing Architectures

RapidMind: Portability across Architectures and its Limitations

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

Numerical modeling of gravitational wave sources accelerated by OpenCL

Recent source codes

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Most viewed papers (last 30 days)