high performance computing on graphics processing units: hgpu.org

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Advantages and GPU implementation of high-performance indexed DNA search based on suffix arrays

Gustavo Encarnacao, Nuno Sebastiao, Nuno Roma

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 580, Suffix trees

November 13, 2011 by hgpu

Fast Level Set Segmentation of Biomedical Images using Graphics Processing Units

Hormuz Mostofi

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Tags: Algorithms, Computer vision, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8600 M GT, Package

November 13, 2011 by hgpu

Efficient GPU Implementation for Particle in Cell Algorithm

Rejith George Joseph, Girish Ravunnikutty, Sanjay Ranka, Eduardo D'Azevedo, Scott Klasky

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, Package, Particle-in-cell methods, Physics, Plasma physics, Tesla T10

November 13, 2011 by hgpu

Molecular Docking on FPGA and GPU Platforms

I. Pechan, B. Feher

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Tags: Algorithms, Bioinformatics, Biology, CUDA, FPGA, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 260

November 13, 2011 by hgpu

Efficiently Computing Tensor Eigenvalues on a GPU

Grey Ballard, Tamara Kolda, Todd Plantenga

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Tags: Algorithms, CUDA, Mathematics, nVidia, Tesla C2050

November 12, 2011 by hgpu

rCUDA: Reducing the number of GPU-based accelerators in high performance clusters

J. Duato, Pena, A.J. a, F. Silla, R. Mayo, E.S. Quintana-Orti

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Tags: Computer science, CUDA, Distributed computing, Energy-efficient computing, nVidia, Package, PC cluster, Tesla C1060

November 12, 2011 by hgpu

Evaluation of an accelerator architecture for Speckle Reducing Anisotropic Diffusion

Siddharth Nilakantan, Srikanth Annangi, Nikhil Gulati, Karthik Sangaiah, Mark Hempstead

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Tags: Algorithms, Computer science, CUDA, Embedded high-performance computing, nVidia, nVidia GeForce 8800 GTX, OpenMP, Performance, Ultrasound

November 12, 2011 by hgpu

A multi-GPU acceleration for 3D imaging of the prostate

E. A. Attardo, A. Borsic, R. J. Halter

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Tags: CUDA, Medicine, nVidia, Tesla S1070, Tomography, Ultrasound

November 12, 2011 by hgpu

Sustainable GPU Computing at Scale

Justin Y. Shi, Moussa Taifi, Abdallah Khreishah, Jie Wu

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Tags: Computer science, CUBLAS, CUDA, Energy-efficient computing, Fault tolerance, nVidia, OpenMPI, Tesla S1070

November 12, 2011 by hgpu

Multithread Content Based File Chunking System in CPU-GPGPU Heterogeneous Architecture

Zhi Tang, Youjip Won

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460

November 12, 2011 by hgpu

Creating HW/SW co-designed MPSoPC’s from high level programming models

Eugene Cartwright, Sen Ma, David Andrews, Miaoqing Huang

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Tags: Computer science, FPGA, Heterogeneous systems, OpenCL, Operating systems, Pthreads

November 12, 2011 by hgpu

A translator framework for Dynamic Programming problems

Alejandro Acosta, Francisco Almeida, Ignacio Pelaez

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Tags: Algorithms, Compilers, Computer science, Heterogeneous systems

November 12, 2011 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Advantages and GPU implementation of high-performance indexed DNA search based on suffix arrays

Fast Level Set Segmentation of Biomedical Images using Graphics Processing Units

Efficient GPU Implementation for Particle in Cell Algorithm

Molecular Docking on FPGA and GPU Platforms

Efficiently Computing Tensor Eigenvalues on a GPU

rCUDA: Reducing the number of GPU-based accelerators in high performance clusters

Evaluation of an accelerator architecture for Speckle Reducing Anisotropic Diffusion

A multi-GPU acceleration for 3D imaging of the prostate

Sustainable GPU Computing at Scale

Multithread Content Based File Chunking System in CPU-GPGPU Heterogeneous Architecture

Creating HW/SW co-designed MPSoPC’s from high level programming models

A translator framework for Dynamic Programming problems

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Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

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