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Enabling the use of Heterogeneous Computing for Bioinformatics

Ramakrishna Bijanapalli Chakri

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Tags: Bioinformatics, Biology, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Smith-Waterman algorithm, Thesis

October 8, 2013 by hgpu

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX

Tilman Dannert, Andreas Marek, Markus Rampp

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Tags: Computational Physics, CUDA, GPU cluster, Heterogeneous systems, nVidia, PC cluster, Physics, Plasma physics, Solar and Stellar Astrophysics, Tesla K20

October 8, 2013 by hgpu

Performance Portability Evaluation for OpenACC on Intel Knights Corner and Nvidia Kepler

Yichao Wang, Qiang Qin, Simon Chong Wee SEE, James Lin

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Tags: Computer science, Heterogeneous systems, Intel Phi, nVidia, OpenACC, Tesla K20

October 4, 2013 by hgpu

Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems

Alin Florindor Murarasu

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia Quadro 6000, Thesis

October 4, 2013 by hgpu

Towards Multi-GPU Support in the Marrow Skeleton Framework

Fernando Alexandre, Ricardo Marques, Herve Paulino

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, nVidia, nVidia Quadro FX 3800, OpenCL, Tesla C1060

October 3, 2013 by hgpu

Exploring Programming Multi-GPUs using OpenMP & OpenACC-based Hybrid Model

Rengan Xu, Sunita Chandrasekaran, Barbara Chapman

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Tags: Computer science, Heterogeneous systems, nVidia, OpenACC, OpenMP, Tesla C2075

September 30, 2013 by hgpu

Separate Compilation in a Language-Integrated Heterogeneous Environment

Mike Murphy, Jaydeep Marathe, Girish Bharambe, Sean Lee, Vinod Grover

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia

September 29, 2013 by hgpu

OpenCL Parallel Programming Development Cookbook

Raymond Tay

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Tags: Book, Computer science, Heterogeneous systems, OpenCL, Tutorial

September 27, 2013 by hgpu

Java with Auto-Parallelization on Graphics Coprocessing Architecture

Guodong Han, Chenggang Zhang, King Tin Lam, Cho-Li Wang

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Java, nVidia, Performance, Tesla M2050

September 27, 2013 by hgpu

Trellis: Portability Across Architectures with a High-level Framework

Lukasz G. Szafaryn, Todd Gamblin, Bronis R. de Supinski, Kevin Skadron

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Tesla C2050

September 27, 2013 by hgpu

OpenCL Task Partitioning in the Presence of GPU Contention

Dominik Grewe, Zheng Wang, and Michael F.P. O'Boyle

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Tags: Computer science, Heterogeneous systems, Intel, Intel HD Graphics 4000, Machine learning, OpenCL, Task scheduling

September 25, 2013 by hgpu

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

George Ungureanu

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Heterogeneous systems, Image processing, nVidia, Thesis

September 25, 2013 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

Enabling the use of Heterogeneous Computing for Bioinformatics

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX

Performance Portability Evaluation for OpenACC on Intel Knights Corner and Nvidia Kepler

Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems

Towards Multi-GPU Support in the Marrow Skeleton Framework

Exploring Programming Multi-GPUs using OpenMP & OpenACC-based Hybrid Model

Separate Compilation in a Language-Integrated Heterogeneous Environment

OpenCL Parallel Programming Development Cookbook

Java with Auto-Parallelization on Graphics Coprocessing Architecture

Trellis: Portability Across Architectures with a High-level Framework

OpenCL Task Partitioning in the Presence of GPU Contention

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

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

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

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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