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Supporting Heterogenous Computing Environments in SaC

Miguel Diogo, Clemens Grelck

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia

September 8, 2012 by hgpu

OpenACC Implementations Comparison

Ivan Lopez-Rodriguez

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Tesla C2050

September 8, 2012 by hgpu

Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?

Benedict R. Gaster, Lee Howes

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, OpenCL, Performance

September 7, 2012 by hgpu

High Performance Parallel Implementation of Compressive Sensing SAR Imaging

Jihua Tian, Jinping Sun, Yuxi Zhang, Najeeb Ahmad

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Tags: CUDA, Image processing, nVidia, Sensing, Tesla C1060

September 7, 2012 by hgpu

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Sarah Amalie King

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Tags: Algorithms, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GT 640 M, Optimization, Partial differential equations, PDEs, Tesla C2050, Thesis

September 7, 2012 by hgpu

An Efficient Acceleration of Digital Fonensics Search Using GPGPU

Chung-han Chen, Fan Wu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Search

September 7, 2012 by hgpu

GPU Computing and CUDA technology used to accelerate a mesh generator application

Adriana Gaudiani, Santiago Montiel, Javier Pimas

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Tags: Computer science, CUDA, nVidia, Tesla C2070

September 7, 2012 by hgpu

Power and Performance Analysis of GPU-Accelerated Systems

Yuki Abe, Hiroshi Sasaki, Martin Peres, Koji Inoue, Kazuaki Murakami, Shinpei Kato

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Source codes

Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 480, Package

September 6, 2012 by hgpu

GPU-Accelerated First-Order Scattering Simulation for X-Ray CT Image Reconstruction

Sungsoo Ha, Jaewoo Pi, Klaus Mueller

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Tags: CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 480, Tomography

September 6, 2012 by hgpu

GPU Acceleration of BCP Procedure for SAT Algorithms

Hironori Fujii, Noriyuki Fujimoto

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

September 6, 2012 by hgpu

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

Saktheesh Subramoniapillai Ajeetha

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Performance, Tesla C2050, Thesis

September 6, 2012 by hgpu

CudaGIS: Report on the Design and Realization of a Massive Data Parallel GIS on GPUs

Jianting Zhang, Simin You

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia Quadro FX 6000

September 6, 2012 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

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

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high performance computing on graphics processing units: hgpu.org

Applications

Supporting Heterogenous Computing Environments in SaC

OpenACC Implementations Comparison

Can GPGPU Programming Be Liberated from the Data-Parallel Bottleneck?

High Performance Parallel Implementation of Compressive Sensing SAR Imaging

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

An Efficient Acceleration of Digital Fonensics Search Using GPGPU

GPU Computing and CUDA technology used to accelerate a mesh generator application

Power and Performance Analysis of GPU-Accelerated Systems

GPU-Accelerated First-Order Scattering Simulation for X-Ray CT Image Reconstruction

GPU Acceleration of BCP Procedure for SAT Algorithms

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

CudaGIS: Report on the Design and Realization of a Massive Data Parallel GIS on GPUs

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

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

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

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

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