high performance computing on graphics processing units: hgpu.org

hgpu.org » Benchmarking

Computing Performance Benchmarks among CPU, GPU, and FPGA

Christopher Robert Cullinan, Timothy Richard Frattesi, Christopher Michael Wyant

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Tags: Algorithms, Benchmarking, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 460, Performance

April 21, 2012 by hgpu

OpenCL vs. OpenMP: A Programmability Debate

Jie Shen, Jianbin Fang, Ana Lucia Varbanescu, Henk Sips

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Tags: Benchmarking, Computer science, OpenCL, OpenMP

April 18, 2012 by hgpu

phiGEMM: a CPU-GPU library for porting Quantum ESPRESSO on hybrid systems

Filippo Spiga, Ivan Girotto

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Tags: Benchmarking, BLAS, Computer science, CUDA, FFT, Matrix multiplication, nVidia, Package, Tesla C2050

April 14, 2012 by hgpu

A Programmable Processing Array Architecture Supporting Dynamic Task Scheduling and Module-Level Prefetching

Junghee Lee, Hyung Gyu Lee, Soonhoi Ha, Jongman Kim, Chrysostomos Nicopoulos

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro NVS 295, Prefetch, Programming techniques, Task scheduling

April 5, 2012 by hgpu

Performance evaluation of GPU memory hierarchy using the FFT

Jacobo Lobeiras, Margarita Amor, Ramon Doallo

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Tags: Benchmarking, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Performance, Signal processing

March 30, 2012 by hgpu

Performance analysis and optimization of the OP2 framework on many-core architectures

M.B. Giles, G.R. Mudalige, Z. Sharif, G. Markall, P.H.J. Kelly

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Tags: Benchmarking, Computer science, CUDA, Fluid dynamics, nVidia, OpenMP, Optimization, Package, Performance, Tesla C2050

March 15, 2012 by hgpu

Dynamic Compilation of Data-Parallel Kernels for Vector Processors

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

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

March 12, 2012 by hgpu

NUMA Data-Access Bandwidth Characterization and Modeling

Ryan Karl Braithwaite

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla C2050, Tesla M2050, Thesis

March 11, 2012 by hgpu

Benchmarking Next Generation Hardware Platforms: An Experimental Approach

Vishakha Gupta, Adit Ranadive, Ada Gavrilovska, Karsten Schwan

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Tags: Benchmarking, CUDA, Finance, Heterogeneous systems, Image processing, nVidia, nVidia GeForce 8800 GTX

March 1, 2012 by hgpu

Customizing Instruction Set Extensible Reconfigurable Processors using GPUs

Unmesh D. Bordoloi, Bharath Suri, Swaroop Nunna, Samarjit Chakraborty, Petru Eles, Zebo Peng

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Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, OpenCL, Optimization, Tesla M2050

February 10, 2012 by hgpu

Symbolic Testing of OpenCL Code

Peter Collingbourne, Cristian Cadar, Paul H. J. Kelly

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Tags: Benchmarking, Code generation, Computer science, nVidia, OpenCL, Package, PTX, Tesla C1060

February 8, 2012 by hgpu

Verifiable Computation with Massively Parallel Interactive Proofs

Justin Thaler, Mike Roberts, Michael Mitzenmacher, Hanspeter Pfister

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Tags: Benchmarking, Cloud, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 480, Package, Security

February 8, 2012 by hgpu

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

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

Specx: Speculative task-based runtime system

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

KISim: Kubernetes Intelligent Scheduling Simulator

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

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high performance computing on graphics processing units: hgpu.org

Computing Performance Benchmarks among CPU, GPU, and FPGA

OpenCL vs. OpenMP: A Programmability Debate

phiGEMM: a CPU-GPU library for porting Quantum ESPRESSO on hybrid systems

A Programmable Processing Array Architecture Supporting Dynamic Task Scheduling and Module-Level Prefetching

Performance evaluation of GPU memory hierarchy using the FFT

Performance analysis and optimization of the OP2 framework on many-core architectures

Dynamic Compilation of Data-Parallel Kernels for Vector Processors

NUMA Data-Access Bandwidth Characterization and Modeling

Benchmarking Next Generation Hardware Platforms: An Experimental Approach

Customizing Instruction Set Extensible Reconfigurable Processors using GPUs

Symbolic Testing of OpenCL Code

Recent source codes

SIGMo: Scalable Isomorphism Graph Matching on GPUs

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

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

Specx: Speculative task-based runtime system

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

KISim: Kubernetes Intelligent Scheduling Simulator

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

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