high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Porting marine ecosystem model spin-up using transport matrices to GPUs

E. Siewertsen, J. Piwonski, T. Slawig

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Tags: CUDA, Earth and Space Sciences, Fortran, MPI, nVidia, nVidia GeForce GTX 480

August 4, 2012 by hgpu

Solving very large instances of the scheduling of independent tasks problem on the GPU

Frederic Pinel, Bernabe Dorronsoro, Pascal Bouvry

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Tags: Computer science, CUDA, nVidia, Task scheduling, Tesla C2050

August 3, 2012 by hgpu

Power Management for GPU-CPU Heterogeneous Systems

Xue Li

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, Thesis

August 3, 2012 by hgpu

GPU-to-GPU and Host-to-Host multipattern string matching on a GPU

Xinyan Zha, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, String matching, Tesla

August 3, 2012 by hgpu

Parallel Statistical Analysis of Analog Circuits by GPU-accelerated Graph-based Approach

Xue-Xin Liu, Sheldon X.-D. Tan, Hai Wang

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Tags: Computer science, CUDA, Data parallelism, Electronic design automation, nVidia, Tesla C2070

August 3, 2012 by hgpu

Parallelizing flow-accumulation calculations on graphics processing units – From iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm

Cheng-Zhi Qin, Lijun Zhan

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Tags: CUDA, Earth and Space Sciences, Geoscience, Graph theory, nVidia, nVidia GeForce GT 330

August 2, 2012 by hgpu

Automated Tool to Generate Parallel CUDA code from a Serial C Code

Akhil Jindal, Nikhil Jindal, Divyashikha Sethia

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce 8400 GS

August 2, 2012 by hgpu

C to Cellular Automata and Execution on CPU, GPU and FPGA

Jens Drieseberg, Christian Siemers

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Tags: Cellular automata, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580, OpenMP

August 2, 2012 by hgpu

Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems

Kaibo Wang, Yin Huai, Rubao Lee, Fusheng Wang, Xiaodong Zhang, Joel H. Saltz

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Tags: CUDA, Databases, Image processing, nVidia, nVidia GeForce GTX 580, Tesla M2050

August 2, 2012 by hgpu

A GPU-Computing Approach to Solar Stokes Profile Inversion

Brian J. Harker, Kenneth J. Mighell

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Tags: Astrophysics, CUDA, nVidia, Solar and Stellar Astrophysics, Tesla C1060

August 2, 2012 by hgpu

Interference-driven resource management for GPU-based heterogeneous clusters

Rajat Phull, Cheng-Hong Li, Kunal Rao, Srihari Cadambi, Srimat Chakradhar

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, nVidia, PC cluster, Performance, Tesla C2050

August 1, 2012 by hgpu

GPU merge path: a GPU merging algorithm

Oded Green, Robert McColl, David A. Bader

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Tesla C1060, Tesla C2070

August 1, 2012 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Programming

Porting marine ecosystem model spin-up using transport matrices to GPUs

Solving very large instances of the scheduling of independent tasks problem on the GPU

Power Management for GPU-CPU Heterogeneous Systems

GPU-to-GPU and Host-to-Host multipattern string matching on a GPU

Parallel Statistical Analysis of Analog Circuits by GPU-accelerated Graph-based Approach

Parallelizing flow-accumulation calculations on graphics processing units – From iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm

Automated Tool to Generate Parallel CUDA code from a Serial C Code

C to Cellular Automata and Execution on CPU, GPU and FPGA

Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems

A GPU-Computing Approach to Solar Stokes Profile Inversion

Interference-driven resource management for GPU-based heterogeneous clusters

GPU merge path: a GPU merging algorithm

Recent source codes

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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