high performance computing on graphics processing units: hgpu.org

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Efficient Synchronization Primitives for GPUs

Jeff A. Stuart, John D. Owens

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Operating systems

October 21, 2011 by hgpu

Characterization of FPGA-based High Performance Computers

Karl Savio Pimenta Pereira

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Tags: Algorithms, Benchmarking, Chemistry, Computer science, CUDA, DSP, FFT, FPGA, Molecular dynamics, nVidia, nVidia GeForce GTX 280, OpenCL, Tesla C2050, Thesis

October 18, 2011 by hgpu

Fast Implementation of DGEMM on Fermi GPU

Guangming Tan, Linchuan Li, Sean Triechle, Everett Phillips, Yungang Bao, Ninghui Sun

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Tags: Algorithms, Benchmarking, Computer science, CUBLAS, CUDA, Matrix multiplication, nVidia, Optimization, Performance, Tesla C2050

October 17, 2011 by hgpu

CudaDMA: Optimizing GPU Memory Bandwidth via Warp Specialization

Michael Bauer, Henry Cook, Brucek Khailany

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Tags: Benchmarking, Computer science, CUDA, Memory model, nVidia, Optimization, Package, Performance, Tesla C2050

October 14, 2011 by hgpu

Towards scalar synchronization in SIMT architectures

Arun Ramamurthy

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Tags: Benchmarking, Computer science, CUDA, nVidia, OpenCL, Performance, Programming techniques, Thesis

October 14, 2011 by hgpu

Benchmarking Across Platforms: European Option Pricing

Igor N. Kozin

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Tags: AMD FireStream 9270, Benchmarking, Cell processor, Computer science, CUDA, Finance, nVidia, OpenCL, Tesla M2050, Tesla S1070

October 13, 2011 by hgpu

Evaluating performance and portability of OpenCL programs

Kazuhiko Komatsu, Katsuto Sato, Yusuke Arai, Kentaro Koyama, Hiroyuki Takizawa, Hiroaki Kobayashi

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, CUDA, nVidia, OpenCL, Optimization, Performance, PTX, Tesla C1060

October 12, 2011 by hgpu

Performance Characterization and Optimization of Atomic Operations on AMD GPUs

Marwa Elteir, Heshan Lin, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, OpenCL, Optimization, Performance, Programming techniques

October 11, 2011 by hgpu

Performance and Power Analysis of ATI GPU: A Statistical Approach

Ying Zhang, Yue Hu, Bin Li, Lu Peng

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, Energy-efficient computing, OpenCL, Performance

October 11, 2011 by hgpu

On the Efficacy of a Fused CPU+GPU Processor (or APU) for Parallel Computing

Mayank Daga, Ashwin M. Aji, Wu-chun Feng

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Tags: APU, ATI, ATI Radeon HD 5450, ATI Radeon HD 5870, Benchmarking, Computer science, Heterogeneous systems, OpenCL, Performance

October 11, 2011 by hgpu

Static Compilation Analysis for Host-Accelerator Communication Optimization

Mehdi Amini, Fabien Coelho, Francois Irigoin, Ronan Keryell

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Tags: Benchmarking, Computer science, CUDA, Numerical simulation, nVidia, OpenMP, Optimization, Package, Tesla C2050

October 11, 2011 by hgpu

Anti-parallel Patterns in Fine-grain Data-parallel Programs

Jan Cornelis

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Tags: Benchmarking, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce 8500 GT, nVidia GeForce GTX 280, Performance, Thesis

October 10, 2011 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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

Efficient Synchronization Primitives for GPUs

Characterization of FPGA-based High Performance Computers

Fast Implementation of DGEMM on Fermi GPU

CudaDMA: Optimizing GPU Memory Bandwidth via Warp Specialization

Towards scalar synchronization in SIMT architectures

Benchmarking Across Platforms: European Option Pricing

Evaluating performance and portability of OpenCL programs

Performance Characterization and Optimization of Atomic Operations on AMD GPUs

Performance and Power Analysis of ATI GPU: A Statistical Approach

On the Efficacy of a Fused CPU+GPU Processor (or APU) for Parallel Computing

Static Compilation Analysis for Host-Accelerator Communication Optimization

Anti-parallel Patterns in Fine-grain Data-parallel Programs

Recent source codes

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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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