high performance computing on graphics processing units: hgpu.org

Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, Edward Suh

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Tags: Computer science, Information Retrieval, Machine learning, nVidia, nVidia V100, Security

January 29, 2023 by hgpu

Implementation of a motion estimation algorithm for Intel FPGAs using OpenCL

Manuel de Castro, Roberto R. Osorio, David L. Vilariño, Arturo Gonzalez-Escribano, Diego R. Llanos

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Tags: Computer science, FPGA, OpenCL, Package

January 29, 2023 by hgpu

Fast Merge Tree Computation via SYCL

Arnur Nigmetov, Dmitriy Morozov

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Tags: Computational Geometry, Computer science, nVidia, nVidia GeForce RTX 2080 Ti, OpenMP, Package, SYCL

January 29, 2023 by hgpu

Efficient OpenCL system integration of non-blocking FPGA accelerators

Topi Leppänen, Atro Lotvonen, Panagiotis Mousouliotis, Joonas Multanen, Georgios Keramidas, Pekka Jääskeläinen

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Tags: Computer science, FPGA, Heterogeneous systems, OpenCL, Package

January 22, 2023 by hgpu

PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks

Kun Wu, Mert Hidayetoğlu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-mei Hwu

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce RTX 3090

January 22, 2023 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Applications

Evaluation of Rust for GPGPU high-performance computing

Optimization of massive data applications on heterogeneous architectures

CMLCompiler: A Unified Compiler for Classical Machine Learning

Revisiting Query Performance in GPU Database Systems

A Symbolic Emulator for Shuffle Synthesis on the NVIDIA PTX Code

Pulsar search acceleration using FPGAs and OpenCL templates

SaLoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs

GPU-based Private Information Retrieval for On-Device Machine Learning Inference

Implementation of a motion estimation algorithm for Intel FPGAs using OpenCL

Fast Merge Tree Computation via SYCL

Efficient OpenCL system integration of non-blocking FPGA accelerators

PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Most viewed papers (last 30 days)