high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Auto-tuning of fast fourier transform on graphics processors

Yuri Dotsenko, Sara S. Baghsorkhi, Brandon Lloyd, Naga K. Govindaraju

View

Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, nVidia GeForce GTX 280, Performance, Software Engineering

September 14, 2011 by hgpu

Shadowfax: scaling in heterogeneous cluster systems via GPGPU assemblies

Alexander M. Merritt, Vishakha Gupta, Abhishek Verma, Ada Gavrilovska, Karsten Schwan

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTS, Performance, Virtualization

September 14, 2011 by hgpu

The Application Perspective: Seeking Productivity and Performance

David Barkai

View

Download (PDF)

Tags: Computer science, MPI, Performance, Programming techniques

September 14, 2011 by hgpu

Gate-Level Simulation with GPU Computing

Debapriya Chatterjee, Andrew Deorio, Valeria Bertacco

View

Download (PDF)

Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Performance

September 13, 2011 by hgpu

Software Challenges for Extreme Scale Computing: Going From Petascale to Exascale Systems

Michael A. Heroux

View

Download (PDF)

Tags: Computer science, Performance, Review, Software Engineering

September 13, 2011 by hgpu

Intermediate fabrics: virtual architectures for circuit portability and fast placement and routing

James Coole, Greg Stitt

View

Download (PDF)

Tags: CAD, Computer science, FPGA, Performance, Virtualization

September 12, 2011 by hgpu

Task superscalar: using processors as functional units

Yoav Etsion, Alex Ramirez, Rosa M. Badia, Eduard Ayguade, Jesus Labarta, Mateo Valero

View

Download (PDF)

Tags: Benchmarking, Cell processor, Computer science, Performance, Programming techniques

September 12, 2011 by hgpu

Symbolic crosschecking of floating-point and SIMD code

Peter Collingbourne, Cristian Cadar, Paul H.J. Kelly

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, Package, Performance, Software Engineering

September 12, 2011 by hgpu

Optimizing a shared virtual memory system for a heterogeneous CPU-accelerator platform

Shoumeng Yan, Xiaocheng Zhou, Ying Gao, Hu Chen, Gansha Wu, Sai Luo, Bratin Saha

Tags: Computer science, Heterogeneous systems, Memory, Operating systems, Performance, Programming Languages

September 12, 2011 by hgpu

High-performance Computing in China: Research and Applications

Ninghui Sun, David Kahaner, Debbie Chen

View

Download (PDF)

Tags: Computer science, GPU cluster, Hardware Architecture, Performance, Review

September 12, 2011 by hgpu

A design pattern language for engineering (parallel) software: merging the PLPP and OPL projects

Kurt Keutzer, Berna L. Massingill, Timothy G. Mattson, Beverly A. Sanders

View

Download (PDF)

Tags: Algorithms, Computer science, High-level Languages, Performance, Programming techniques

September 11, 2011 by hgpu

Early experiences with the intel many integrated cores accelerated computing technology

L. Koesterke, J. Boisseau, J. Cazes, K. Milfeld, D. Stanzione

Tags: Algorithms, Computer science, Intel, OpenMP, Performance

September 11, 2011 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

Auto-tuning of fast fourier transform on graphics processors

Shadowfax: scaling in heterogeneous cluster systems via GPGPU assemblies

The Application Perspective: Seeking Productivity and Performance

Gate-Level Simulation with GPU Computing

Software Challenges for Extreme Scale Computing: Going From Petascale to Exascale Systems

Intermediate fabrics: virtual architectures for circuit portability and fast placement and routing

Task superscalar: using processors as functional units

Symbolic crosschecking of floating-point and SIMD code

Optimizing a shared virtual memory system for a heterogeneous CPU-accelerator platform

High-performance Computing in China: Research and Applications

A design pattern language for engineering (parallel) software: merging the PLPP and OPL projects

Early experiences with the intel many integrated cores accelerated computing technology

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)