high performance computing on graphics processing units: hgpu.org

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Scalable, High Performance Fourier Domain Optical Coherence Tomography: Why FPGAs and Not GPGPUs

Jian Li, Marinko V. Sarunic, Lesley Shannon

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Tags: Algorithms, CUDA, Data acquisition, FPGA, Medicine, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Tomography

September 21, 2011 by hgpu

Non-deterministic parallelism considered useful

Derek G. Murray, Steven Hand

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Tags: Computer science, Programming techniques

September 21, 2011 by hgpu

Parallel graduated assignment algorithm for multiple graph matching based on a common labelling

David Rodenas, Francesc Serratosa, Albert Sole-Ribalta

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia ION, Presentation

September 21, 2011 by hgpu

GPU-based cloud performance for LiDAR data processing

Ramanathan Sugumaran, Dossay Oryspayev, Paul Gray

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Tags: Algorithms, Cloud, Computer science, CUDA, Data mining, Databases, Earth and Space Sciences, nVidia, Performance

September 21, 2011 by hgpu

Multicore performance optimization using partner cores

Eric Lau, Jason E. Miller, Inseok Choi, Donald Yeung, Saman Amarasinghe, Anant Agarwal

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Tags: Computer science, Optimization, Programming techniques

September 21, 2011 by hgpu

Mint: realizing CUDA performance in 3D stencil methods with annotated C

Didem Unat, Xing Cai, Scott B. Baden

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Source codes

Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia, OpenMP, Optimization, Package, Performance, Programming Languages, Tesla C1060

September 21, 2011 by hgpu

Scalable heterogeneous parallelism for atmospheric modeling and simulation

John C. Linford, Adrian Sandu

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Tags: Cell processor, Earth and Space Sciences, Finite difference, Heterogeneous systems, Weather prediction

September 20, 2011 by hgpu

Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors

Ashwin Prasad, Jayvant Anantpur, R. Govindarajan

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Tags: Benchmarking, Clustering, Computer science, CUDA, Data parallelism, Flow analysis, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTS, Optimization

September 20, 2011 by hgpu

Automatic abstraction and fault tolerance in cortical microachitectures

Atif Hashmi, Hugues Berry, Olivier Temam, Mikko Lipasti

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Tags: Algorithms, Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce 9800 GT

September 20, 2011 by hgpu

SRAM-DRAM hybrid memory with applications to efficient register files in fine-grained multi-threading

Wing-kei S. Yu, Ruirui Huang, Sarah Q. Xu, Sung-En Wang, Edwin Kan, G. Edward Suh

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Tags: Benchmarking, Computer science, Memory, nVidia, Performance

September 20, 2011 by hgpu

Brief announcement: better speedups for parallel max-flow

George Constantin Caragea, Uzi Vishkin

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Tags: Algorithms, ASIC, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Performance

September 20, 2011 by hgpu

Hermes: an integrated CPU/GPU microarchitecture for IP routing

Yuhao Zhu, Yangdong Deng, Yubei Chen

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Software router

September 20, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Scalable, High Performance Fourier Domain Optical Coherence Tomography: Why FPGAs and Not GPGPUs

Non-deterministic parallelism considered useful

Parallel graduated assignment algorithm for multiple graph matching based on a common labelling

Multicore performance optimization using partner cores

Mint: realizing CUDA performance in 3D stencil methods with annotated C

Scalable heterogeneous parallelism for atmospheric modeling and simulation

Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors

Automatic abstraction and fault tolerance in cortical microachitectures

SRAM-DRAM hybrid memory with applications to efficient register files in fine-grained multi-threading

Brief announcement: better speedups for parallel max-flow

Hermes: an integrated CPU/GPU microarchitecture for IP routing

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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