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Performance Upper Bound Analysis and Optimization of SGEMM on Fermi and Kepler GPUs

Junjie Lai, Andre Seznec

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Tags: Algorithms, Benchmarking, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce GTX 680, Optimization, Performance

February 22, 2013 by hgpu

An efficient scheduling scheme using estimated execution time for heterogeneous computing systems

Hong Jun Choi, Dong Oh Son, Seung Gu Kang, Jong Myon Kim, Hsien-Hsin Lee, Cheol Hong Kim

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8500 GT

February 22, 2013 by hgpu

A Parallel Active-Set Method for Solving Frictional Contact Problems

Joshua Alexander Litven

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 580, Physics, Thesis

February 22, 2013 by hgpu

GPU-based Motion Planning under Uncertainties using POMDP

Taekhee Lee, Young J. Kim

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 680

February 22, 2013 by hgpu

Scheduling a Parallel Sparse Direct Solver to Multiple GPUs

Kyungjoo Kim

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Source codes

Tags: Computer science, CUDA, Factorization, FEM, Finite element method, Heterogeneous systems, nVidia, Package, Sparse direct solvers, Task scheduling, Tesla M2070

February 21, 2013 by hgpu

Computation of Air-Vortices Based on GPU Technology: Optimizing and Parallelizing a Model for Wake-Vortex Prediction Using OpenCL

Erik Peldan

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Tags: Algorithms, Computer science, Differential equations, nVidia, OpenCL, Thesis

February 21, 2013 by hgpu

GamePipe: A Virtualized Cloud Platform Design and Performance Evaluation

Zhou Zhao, Kai Hwang, Jose Villeta

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Tags: Cloud, Computer science, CUDA, Games, nVidia, nVidia GeForce 8400 M, Tesla M2070

February 21, 2013 by hgpu

Ray Tracing on GPUs

Tom Morris Feist, Florian Wende

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, Raytracing, Tesla C1060, Tesla M2090, Tutorial

February 21, 2013 by hgpu

Complexity Analysis and Algorithm Design for Reorganizing Data to Minimize Non-Coalesced Memory Accesses on GPU

Bo Wu, Zhijia Zhao, Eddy Z. Zhang, Yunlian Jiang, Xipeng Shen

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Tesla C1060

February 20, 2013 by hgpu

An abstract object oriented runtime system for heterogeneous parallel architecture

Jean-Marc Gratien

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Tesla C2070, Tesla T10

February 20, 2013 by hgpu

Accelerating encryption using commodity hardware

Grigore Lupescu

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Tags: Computer science, nVidia, nVidia GeForce GT 640, nVidia GeForce GTX 580, OpenCL, Security

February 18, 2013 by hgpu

A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures

Shuaiwen Song, Chunyi Su, Barry Rountree, Kirk W. Cameron

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Tags: Biomolecules, Computer science, CUDA, Electrostatics, Energy-efficient computing, GPU cluster, Heterogeneous systems, Machine learning, nVidia, Tesla C2075, Tesla M2090

February 18, 2013 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

See all packages

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high performance computing on graphics processing units: hgpu.org

Performance Upper Bound Analysis and Optimization of SGEMM on Fermi and Kepler GPUs

An efficient scheduling scheme using estimated execution time for heterogeneous computing systems

A Parallel Active-Set Method for Solving Frictional Contact Problems

GPU-based Motion Planning under Uncertainties using POMDP

Scheduling a Parallel Sparse Direct Solver to Multiple GPUs

Computation of Air-Vortices Based on GPU Technology: Optimizing and Parallelizing a Model for Wake-Vortex Prediction Using OpenCL

Ray Tracing on GPUs

Complexity Analysis and Algorithm Design for Reorganizing Data to Minimize Non-Coalesced Memory Accesses on GPU

An abstract object oriented runtime system for heterogeneous parallel architecture

Accelerating encryption using commodity hardware

A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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