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Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search

Trong-Tuan Vu, Bilel Derbel, Nouredine Melab

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Performance, Tesla T10

January 14, 2013 by hgpu

HiDP: A Hierarchical Data Parallel Language

Yongpeng Zhang, Frank Mueller

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Tags: Algorithms, Computer science, CUDA, Data parallelism, High-level Languages, nVidia, nVidia GeForce GTX 480

January 13, 2013 by hgpu

Toward Practical Real-Time Photon Mapping: Efficient GPU Density Estimation

Michael Mara, David Luebke, Morgan McGuire

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 670, Rendering

January 13, 2013 by hgpu

Exploring Traditional and Emerging Parallel Programming Models using a Proxy Application

Ian Karlin, Abhinav Bhatele, Jeff Keasler, Bradford L. Chamberlain, Jonathan Cohen, Zachary DeVito, Riyaz Haque, Dan Laney, Edward Luke, Felix Wang, David Richards, Martin Schulz, Charles H. Still

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Tesla M2050

January 13, 2013 by hgpu

Accelerating Topic Model Training on a Single Machine

Mian Lu, Ge Bai, Qiong Luo, Jie Tang, Jiuxin Zhao

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Tags: Computer science, CUDA, Information Retrieval, Latent Dirichlet allocation, nVidia, nVidia GeForce GTX 280

January 12, 2013 by hgpu

Implementing Sparse Matrix-Vector Multiplication with QCSR on GPU

Jilin Zhang, Enyi Liu, Jian Wan, Yongjian Ren, Miao Yue, Jue Wang

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Tags: Computer science, CUDA, nVidia, Sparse matrix

January 12, 2013 by hgpu

Exploring the Feasibility of Fully Homomorphic Encryption

Wei Wang, Yin Hu, Lianmu Chen, Xinming Huang, Berk Sunar

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 690, Security

January 12, 2013 by hgpu

Intrusion Detection Architecture Utilizing Graphics Processors

Liberios Vokorokos, Anton Balaz, Branislav Mados

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Operating systems, Security

January 12, 2013 by hgpu

Evaluating Reconfigurable Dataflow Computing Using the Himeno Benchmark

Yukinori Sato, Yasushi Inoguchi, Wayne Luk, Tadao Nakamura

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Tags: Benchmarking, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Tesla M2050

January 11, 2013 by hgpu

Parallel Computing of Discrete Element Method on GPU

Teruyoshi Washizawa, Yasuhiro Nakahara

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Tags: Computational Engineering, Computer science, CUDA, nVidia, OpenCL, Tesla C2050

January 11, 2013 by hgpu

Parallel Algorithms for Constructing Data Structures for Fast Multipole Methods

Qi Hu, Nail A. Gumerov, Ramani Duraiswami

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, Heterogeneous systems, Mathematical Software, nVidia, nVidia GeForce GTX 480

January 11, 2013 by hgpu

On Graphs, GPUs, and Blind Dating: A Workload to Processor Matchmaking Quest

Abdullah Gharaibeh, Lauro Beltrao Costa, Elizeu Santos-Neto, Matei Ripeanu

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2075

January 10, 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

Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search

HiDP: A Hierarchical Data Parallel Language

Toward Practical Real-Time Photon Mapping: Efficient GPU Density Estimation

Exploring Traditional and Emerging Parallel Programming Models using a Proxy Application

Accelerating Topic Model Training on a Single Machine

Implementing Sparse Matrix-Vector Multiplication with QCSR on GPU

Exploring the Feasibility of Fully Homomorphic Encryption

Intrusion Detection Architecture Utilizing Graphics Processors

Evaluating Reconfigurable Dataflow Computing Using the Himeno Benchmark

Parallel Computing of Discrete Element Method on GPU

Parallel Algorithms for Constructing Data Structures for Fast Multipole Methods

On Graphs, GPUs, and Blind Dating: A Workload to Processor Matchmaking Quest

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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