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GPGPU supported cooperative acceleration in molecular dynamics

Gang Chen, Guobo Li, Songwen Pei, Baifeng Wu

Tags: ATI, Brook, Chemistry, Molecular dynamics

April 5, 2011 by hgpu

Parallelizing Simulated Annealing-Based Placement Using GPGPU

Alexander Choong, Rami Beidas, Jianwen Zhu

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Tags: Numerical simulation, nVidia, nVidia GeForce GTX 280, Physics

April 5, 2011 by hgpu

GPGPU-FDTD method for 2-dimensional electromagnetic field simulation and its estimation

M. Unno, Y. Inoue, H. Asar

Tags: Computational Engineering, FDTD, Finite-difference time-domain

April 5, 2011 by hgpu

A Case Study of SWIM: Optimization of Memory Intensive Application on GPGPU

Wei Yi, Yuhua Tang, Guibin Wang, Xudong Fang

Tags: Computer science, Memory, nVidia, nVidia GeForce GTX 295, Optimization, Performance

April 4, 2011 by hgpu

Many-Thread Aware Prefetching Mechanisms for GPGPU Applications

Jaekyu Lee, Nagesh B. Lakshminarayana, Hyesoon Kim, Richard Vuduc

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce 8800 GT, Performance

April 4, 2011 by hgpu

GPGPU implementation of a synaptically optimized, anatomically accurate spiking network simulator

Ruggero Scorcioni

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Tags: Biology, CUDA, Neuroscience, nVidia

April 4, 2011 by hgpu

GPGPU-based Latency Insertion Method: Application to PDN simulations

Y. Inoue, T. Sekine, H. Asai

Tags: Computational Engineering, Computer science

April 4, 2011 by hgpu

Migrating real-time depth image-based rendering from traditional to next-gen GPGPU

S. Rogmans, M. Dumont, G. Lafruit, P. Bekaert

Tags: Computer science, Rendering

April 4, 2011 by hgpu

The optimization of parallel Smith-Waterman sequence alignment using on-chip memory of GPGPU

Qian Zhang, Hong An, Gu Liu, Wenting Han, Ping Yao, Mu Xu, Xiaoqiang Li

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm

April 4, 2011 by hgpu

Parallel connected-component labeling algorithm for GPGPU applications

In-Yong Jung, Chang-Sung Jeong

Tags: Algorithms, Computer science, CUDA, nVidia

April 4, 2011 by hgpu

Exploring GPGPU workloads: Characterization methodology, analysis and microarchitecture evaluation implications

Nilanjan Goswami, Ramkumar Shankar, Madhura Joshi, Tao Li

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Tags: Benchmarking, Computer science, CUDA, nVidia, Performance, PTX

April 4, 2011 by hgpu

Parallel Exact Inference on a CPU-GPGPU Heterogenous System

Hyeran Jeon, Yinglong Xia, Viktor K. Prasanna

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 260

April 4, 2011 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

GPGPU supported cooperative acceleration in molecular dynamics

Parallelizing Simulated Annealing-Based Placement Using GPGPU

GPGPU-FDTD method for 2-dimensional electromagnetic field simulation and its estimation

A Case Study of SWIM: Optimization of Memory Intensive Application on GPGPU

Many-Thread Aware Prefetching Mechanisms for GPGPU Applications

GPGPU implementation of a synaptically optimized, anatomically accurate spiking network simulator

GPGPU-based Latency Insertion Method: Application to PDN simulations

Migrating real-time depth image-based rendering from traditional to next-gen GPGPU

The optimization of parallel Smith-Waterman sequence alignment using on-chip memory of GPGPU

Parallel connected-component labeling algorithm for GPGPU applications

Exploring GPGPU workloads: Characterization methodology, analysis and microarchitecture evaluation implications

Parallel Exact Inference on a CPU-GPGPU Heterogenous System

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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