high performance computing on graphics processing units: hgpu.org

Larry Seiler, Doug Carmean, Eric Sprangle, Tom Forsyth, Michael Abrash, Pradeep Dubey, Stephen Junkins, Adam Lake, Jeremy Sugerman, Robert Cavin, Roger Espasa, Ed Grochowski, Toni Juan, Pat Hanrahan

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Tags: 3D Graphics and Realism, Architecture, Computer science, Hardware, Larrabee

December 10, 2010 by hgpu

Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration

Erik Alerstam, Tomas Svensson, Stefan A. Engels

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Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GT, Optics, Package, Physics

December 10, 2010 by hgpu

Graphical Processing Units for Quantum Chemistry

I. S. Ufimtsev, T. J. Martinez

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Tags: Chemistry, Computational chemistry, CUDA, Molecular modeling, nVidia, nVidia GeForce 8800 GTX

December 10, 2010 by hgpu

GPU-based Fast Ray Casting for a Large Number of Metaballs

Yoshihiro Kanamori, Zoltan Szego, Tomoyuki Nishita

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Tags: 3D Graphics and Realism, Algorithms, Cg, Computer science, nVidia, nVidia GeForce 8800 Ultra, OpenGL, Rendering

December 10, 2010 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

Displacement Mapping on the GPU – State of the Art

GPU-boosted online image matching

Future graphics architectures

The impact of accelerator processors for high-throughput molecular modeling and simulation

Biomedical image analysis on a cooperative cluster of GPUs and multicores

Merge: a programming model for heterogeneous multi-core systems

Real-Time Simulation of Medical Ultrasound from CT Images

Cost-effective medical image reconstruction: from clusters to graphics processing units

Larrabee: a many-core x86 architecture for visual computing

Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration

Graphical Processing Units for Quantum Chemistry

GPU-based Fast Ray Casting for a Large Number of Metaballs

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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