high performance computing on graphics processing units: hgpu.org

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Sort-First Parallel Volume Rendering

Brendan Moloney, Marco Ament, Daniel Weiskopf, Torsten Moller

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Tags: Algorithms, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 285, OpenGL, Rendering, Visualization

September 4, 2011 by hgpu

View-Dependent Streamlines for 3D Vector Fields

Stephane Marchesin, Cheng-Kai Chen, Chris Ho, Kwan-Liu Ma

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, OpenGL, Visualization

September 3, 2011 by hgpu

Utilizing Hierarchical Multiprocessing for Medical Image Registration

William Plishker, Omkar Dandekar, Shuvra S. Bhattacharyya, Raj Shekhar

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Tags: Algorithms, CUDA, Image processing, Image registration, Medicine, nVidia, nVidia GeForce GTX 285

September 3, 2011 by hgpu

GPU Versus FPGA for High Productivity Computing

David H. Jones, Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung

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Tags: Benchmarking, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285

September 2, 2011 by hgpu

Parallel hierarchical cross entropy optimization for on-chip decap budgeting

Xueqian Zhao, Yonghe Guo, Zhuo Feng, Shiyan Hu

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Tags: Algorithms, Benchmarking, CAD, Computer science, CUDA, Nonlinear optimization, nVidia, nVidia GeForce GTX 285, Optimization, Probability

September 1, 2011 by hgpu

Towards dynamic reconfigurable load-balancing for hybrid desktop platforms

Alecio P.D. Binotto, Carlos E. Pereira, Dieter W. Fellner

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Tags: Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, OpenCL, Poster

August 31, 2011 by hgpu

Collaborative execution environment for heterogeneous parallel systems

Aleksandar Ilic, Leonel Sousa

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Tags: Computer science, CUBLAS, CUDA, Data parallelism, FFT, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 285, Presentation

August 28, 2011 by hgpu

A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

Seokhyun Kim, Hak-yeol Sohn, Jin Ho Chang, Tai-kyoung Song, Yangmo Yoo

Tags: Algorithms, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, Ultrasound

August 25, 2011 by hgpu

A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction

Allen Leung, Nicolas Vasilache, Benoit Meister, Muthu Baskaran, David Wohlford, Cedric Bastoul, Richard Lethin

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Tags: Algorithms, Code generation, Compilers, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 285, Programming Languages

August 24, 2011 by hgpu

Fast parallel surface and solid voxelization on GPUs

Michael Schwarz, Hans-Peter Seidel

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480

August 23, 2011 by hgpu

Evaluation of streaming aggregation on parallel hardware architectures

Scott Schneidert, Henrique Andrade, Bugra Gedik, Kun-Lung Wu, Dimitrios S. Nikolopoulos

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Tags: Cell processor, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, OpenMP, Performance

August 22, 2011 by hgpu

Improving programmability of heterogeneous many-core systems via explicit platform descriptions

Martin Sandrieser, Siegfried Benkner, Sabri Pllana

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, OpenMP, Presentation

August 22, 2011 by hgpu

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

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high performance computing on graphics processing units: hgpu.org

Sort-First Parallel Volume Rendering

View-Dependent Streamlines for 3D Vector Fields

Utilizing Hierarchical Multiprocessing for Medical Image Registration

GPU Versus FPGA for High Productivity Computing

Parallel hierarchical cross entropy optimization for on-chip decap budgeting

Towards dynamic reconfigurable load-balancing for hybrid desktop platforms

Collaborative execution environment for heterogeneous parallel systems

A PC-based fully-programmable medical ultrasound imaging system using a graphics processing unit

A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction

Fast parallel surface and solid voxelization on GPUs

Evaluation of streaming aggregation on parallel hardware architectures

Improving programmability of heterogeneous many-core systems via explicit platform descriptions

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DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

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HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

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