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Studies of quantum dots: Ab initio coupled-cluster analysis using OpenCL and GPU programming

Christoffer Hirth

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Tags: ATI, ATI Radeon HD 6970, Cluster analysis, OpenCL, Physics, Thesis

November 10, 2012 by hgpu

Architectural Considerations for Compiler-guided Unroll-and-Jam of CUDA Kernels

Apan Qasem

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Tags: Compilers, Computer science, CUDA, Memory model, nVidia, nVidia GeForce 9800 GT, Tesla C2050

November 8, 2012 by hgpu

Flexible N-Way MIMO Detector on GPU

Michael Wu, Bei Yin, Joseph R. Cavallaro

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Tags: Computer science, CUDA, MIMO, nVidia, nVidia GeForce GTX 560 Ti

November 8, 2012 by hgpu

Reusable OpenCL FPGA Infrastructure

Stephen Alexander Chin

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Tags: Computer science, FPGA, Heterogeneous systems, OpenCL, Thesis

November 8, 2012 by hgpu

SPH Based Fluid Animation Using CUDA Enabled GPU

Uday A. Nuli, P. J. Kulkarni

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Fluid simulation, nVidia, nVidia GeForce GTX 280

November 8, 2012 by hgpu

Massively parallel Monte Carlo for many-particle simulations on GPUs

Joshua A. Anderson, Eric Jankowski, Thomas L. Grubb, Michael Engel, Sharon C. Glotzer

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Tags: Algorithms, Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Particle simulation, Physics

November 8, 2012 by hgpu

Efficient implementation of data flow graphs on multi-gpu clusters

Vincent Boulos, Sylvain Huet, Vincent Fristot, Luc Salvo, Dominique Houzet

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Tags: Algorithms, CUDA, GPU cluster, Image processing, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 460 M, Signal processing

November 7, 2012 by hgpu

Study of Convolution Algorithms using CPU and Graphics Hardware

Matz Johansson Bergstrom

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 570, Thesis

November 7, 2012 by hgpu

A GPU-Based Transient Stability Simulation Using Runge-Kutta Integration Algorithm

Zhijun Qin, Yunhe Hou

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 580, Sparse direct solvers

November 7, 2012 by hgpu

GPU Virtualization

Kristoffer Robin Stokke

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Source codes

Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro NVS 295, Package, Python, Thesis, Virtualization

November 7, 2012 by hgpu

Connectivity-Based Segmentation for GPU-Accelerated Mesh Decompression

Jie-Yi Zhao, Min Tang, Ruo-Feng Tong

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Geodesic Distances, nVidia, nVidia GeForce GTX 580

November 7, 2012 by hgpu

Adapting Irregular Computations to Large CPU-GPU Clusters in the MADNESS Framework

Vlad Slavici, Raghu Varier, Gene Cooperman, Robert J. Harrison

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Tags: Chemistry, Computational chemistry, Computer science, CUBLAS, CUDA, GPU cluster, nVidia, Tesla M2090

November 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

Studies of quantum dots: Ab initio coupled-cluster analysis using OpenCL and GPU programming

Architectural Considerations for Compiler-guided Unroll-and-Jam of CUDA Kernels

Flexible N-Way MIMO Detector on GPU

Reusable OpenCL FPGA Infrastructure

SPH Based Fluid Animation Using CUDA Enabled GPU

Massively parallel Monte Carlo for many-particle simulations on GPUs

Efficient implementation of data flow graphs on multi-gpu clusters

Study of Convolution Algorithms using CPU and Graphics Hardware

A GPU-Based Transient Stability Simulation Using Runge-Kutta Integration Algorithm

GPU Virtualization

Connectivity-Based Segmentation for GPU-Accelerated Mesh Decompression

Adapting Irregular Computations to Large CPU-GPU Clusters in the MADNESS Framework

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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