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Clustering Based Search Algorithm For Motion Estimation

Ke Chen, Zhong Zhou, Wei Wu

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Search

August 5, 2012 by hgpu

Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem

Audrey Delevacq, Pierre Delisle, Michael Krajecki

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Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, Tesla C2050

August 4, 2012 by hgpu

Analysis and performance estimation of the conjugate gradient method on multiple GPUs

Mickeal Verschoor, Andrei C. Jalba

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Tags: Computer science, Conjugate gradient solver, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 570, Performance, Sparse matrix

August 4, 2012 by hgpu

Parallelization of KMP String Matching Algorithm on Different SIMD architectures: Multi-Core and GPGPU’s

Akhtar Rasool, Nilay Khare

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Tags: Algorithms, ATI, Computer science, OpenCL, Pattern recognition, String matching

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

Performance Analysis of GPU Accelerators with Realizable Utilization of Computational Density

Justin Richardson, Alan D. George, Herman Lam

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Tags: Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GT 240, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla C1060, Tesla C870

August 3, 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

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

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

Clustering Based Search Algorithm For Motion Estimation

Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem

Analysis and performance estimation of the conjugate gradient method on multiple GPUs

Parallelization of KMP String Matching Algorithm on Different SIMD architectures: Multi-Core and GPGPU’s

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

Performance Analysis of GPU Accelerators with Realizable Utilization of Computational Density

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

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

Interference-driven resource management for GPU-based heterogeneous clusters

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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