high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

Maestro: Data Orchestration and Tuning for OpenCL Devices

Kyle Spafford, Jeremy Meredith, Jeffrey Vetter

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Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Performance, Tesla C1060, Tesla S1070

August 18, 2011 by hgpu

Analyzing program flow within a many-kernel OpenCL application

Perhaad Mistry, Chris Gregg, Norman Rubin, David Kaeli, Kim Hazelwood

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Tags: ATI, ATI Radeon HD 5870, Computer science, Computer vision, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Performance

August 18, 2011 by hgpu

A novel FPGA-based SVM classifier

Markos Papadonikolakis, Christos-Savvas Bouganis

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Tags: Computational Complexity, Computer science, FPGA, Heterogeneous systems

August 15, 2011 by hgpu

THOR: A Transparent Heterogeneous Open Resource framework

J.L. Vazquez-Poletti, J. Perhac, J. Ryan, A.C. Elster

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Tags: Algorithms, Benchmarking, Cloud, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 470, OpenCL, Tesla S1070

August 10, 2011 by hgpu

Mapping of a film grain removal algorithm to a heterogeneous reconfigurable architecture

Sean Whitty, Henning Sahlbach, Rolf Ernst, Wolfram Putzke-Roming

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Tags: Algorithms, FPGA, Heterogeneous systems, Image processing

August 1, 2011 by hgpu

Dynamic Self-Rescheduling of Tasks over a Heterogeneous Platform

A.P.D. Binotto, E.P. Freitas, M. Gotz, C.E. Pereira, A. Stork, T. Larsson

Tags: Algorithms, Computer science, Heterogeneous systems, Image processing, Task scheduling

July 29, 2011 by hgpu

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Alecio P.D. Binotto, Bernardo M.V. Pedras, Marcelo Goetz, Arjan Kuijper, Carlos E. Pereira, Andre Stork, Dieter W. Fellner

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Task scheduling

July 27, 2011 by hgpu

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Cedric Augonnet, Jerome Clet-Ortega, Samuel Thibault, Raymond Namyst

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5800, Package, Prefetch, Task scheduling, Tesla S1070

July 26, 2011 by hgpu

A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads

Shuai Che, Jeremy W. Sheaffer, Michael Boyer, Lukasz G. Szafaryn, Liang Wang, Kevin Skadron

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Tags: Benchmarking, CMP, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480

July 22, 2011 by hgpu

A History-Based Performance Prediction Model with Profile Data Classification for Automatic Task Allocation in Heterogeneous Computing Systems

Katsuto Sato, Kazuhiko Komatsu, Hiroyuki Takizawa, Hiroaki Kobayashi

Tags: Computer science, Heterogeneous systems, OpenCL, Performance, Programming techniques

July 22, 2011 by hgpu

Parallel computing of 3D smoking simulation based on OpenCL heterogeneous platform

Zhiyong Yuan, Weixin Si, Xiangyun Liao, Zhaoliang Duan, Yihua Ding, Jianhui Zhao

Tags: Computer science, Fluid dynamics, Heterogeneous systems, Navier-Stokes equations, NSEs, OpenCL, Real-time graphics, Rendering

July 22, 2011 by hgpu

GLOpenCL: OpenCL support on hardware- and software-managed cache multicores

Konstantis Daloukas, Christos D. Antonopoulos, Nikolaos Bellas

Tags: Code generation, Compilers, Computer science, Heterogeneous systems, OpenCL

July 22, 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

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high performance computing on graphics processing units: hgpu.org

Maestro: Data Orchestration and Tuning for OpenCL Devices

Analyzing program flow within a many-kernel OpenCL application

A novel FPGA-based SVM classifier

Mapping of a film grain removal algorithm to a heterogeneous reconfigurable architecture

Dynamic Self-Rescheduling of Tasks over a Heterogeneous Platform

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads

A History-Based Performance Prediction Model with Profile Data Classification for Automatic Task Allocation in Heterogeneous Computing Systems

Parallel computing of 3D smoking simulation based on OpenCL heterogeneous platform

GLOpenCL: OpenCL support on hardware- and software-managed cache multicores

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

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