high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Out of kernel tuning and optimizations for portable large-scale docking experiments on GPUs

Gianmarco Accordi, Davide Gadioli, Emanele Vitali, Luigi Crisci, Biagio Cosenza, Andrea Beccari, Gianluca Palermo

View

Download (PDF)

Tags: Computer science, CUDA, HPC, molecular docking, nVidia, nVidia A100, oneAPI, Performance, SYCL

February 12, 2024 by hgpu

Gallatin: A General-Purpose GPU Memory Manager

Hunter McCoy, Prashant Pandey

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, HPC, Memory, nVidia, nVidia A40, Package

February 4, 2024 by hgpu

Deductive verification for SYCL

Ellen Wittingen

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Heterogeneous systems, HIP, nVidia, OpenCL, OpenMP, Package, SYCL, Thesis

February 4, 2024 by hgpu

LeftoverLocals: Listening to LLM Responses Through Leaked GPU Local Memory

Tyler Sorensen, Heidy Khlaaf

View

Download (PDF)

Source codes

Tags: Computer science, Data recovery, nVidia, nVidia GeForce RTX 4070, OpenCL, Package, Security, Vulkan

February 4, 2024 by hgpu

Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core

Robert Jendersie, Christian Lessig, Thomas Richter

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Earth and Space Sciences, Finite element method, Numerical Analysis, nVidia, nVidia A100, nVidia GeForce RTX 3090, OpenMP, Package, PyTorch, SYCL

February 4, 2024 by hgpu

Assessing the Impact of Compiler Optimizations on GPUs Reliability

Fernando Fernandes dos Santos, Luigi Carro, Flavio Vella, Paolo Rech

View

Download (PDF)

Tags: Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan V, PTX, Tesla K40, Tesla V100

January 28, 2024 by hgpu

BANG: Billion-Scale Approximate Nearest Neighbor Search using a Single GPU

Karthik V., Saim Khan, Somesh Singh, Harsha Vardhan Simhadri, Jyothi Vedurada

View

Download (PDF)

Tags: Computer science, CUDA, Nearest neighbour, nVidia, nVidia A100

January 28, 2024 by hgpu

A Heterogeneous Inference Framework for a Deep Neural Network

Rafael Gadea-Gironés, José Luís Rocabado-Rocha, Jorge Fe, Jose M. Monzo

View

Download (PDF)

Tags: Artificial intelligence, Computer science, Deep learning, FPGA, Heterogeneous systems, HLS, Machine learning, Neural networks, OpenCL, PyTorch

January 28, 2024 by hgpu

A Survey on Hardware Accelerators for Large Language Models

Christoforos Kachris

View

Download (PDF)

Tags: Computer science, Energy-efficient computing, FPGA, Hardware Architecture, NLP, survey

January 21, 2024 by hgpu

swCUDA: Auto parallel code translation framework from CUDA to ATHREAD for new generation sunway supercomputer

Maoxue Yu, Guanghao Ma, Zhuoya Wang, Shuai Tang, Yuhu Chen, Yucheng Wang, Yuanyuan Liu, Dongning Jia, Zhiqiang Wei

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 1050 Ti

January 21, 2024 by hgpu

Minuet: Accelerating 3D Sparse Convolutions on GPUs

Jiacheng Yang, Christina Giannoula, Jun Wu, Mostafa Elhoushi, James Gleeson, Gennady Pekhimenko

View

Download (PDF)

Source codes

Tags: Cloud, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce RTX 2070, nVidia GeForce RTX 2080 Ti, nVidia GeForce RTX 3090, Package, Performance, PyTorch, Tesla A100

January 21, 2024 by hgpu

Parallel and Heterogeneous Timing Analysis: Partition, Algorithm, and System

Tsung-Wei Huang, Boyang Zhang, Dian-Lun Lin, Cheng-Hsiang Chiu

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Package, Timing analysis

January 21, 2024 by hgpu

UVaFTLE: Lagrangian finite time Lyapunov exponent extraction for fluid dynamic applications

Challenging Portability Paradigms: FPGA Acceleration Using SYCL and OpenCL

HPCToolkit

Refining HPCToolkit for application performance analysis at exascale

Open Catalog of Best Practices for Modernization and Optimization

Optimizing the Weather Research and Forecasting Model with OpenMP Offload and Codee

Owl: Differential-based Side-Channel Leakage Detection for CUDA Applications

pSTL-Bench: Micro-benchmark suite designed to evaluate the scalability and efficiency of parallel C++ STL implementations

Exploring Scalability in C++ Parallel STL Implementations

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Out of kernel tuning and optimizations for portable large-scale docking experiments on GPUs

Gallatin: A General-Purpose GPU Memory Manager

Deductive verification for SYCL

LeftoverLocals: Listening to LLM Responses Through Leaked GPU Local Memory

Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core

Assessing the Impact of Compiler Optimizations on GPUs Reliability

BANG: Billion-Scale Approximate Nearest Neighbor Search using a Single GPU

A Heterogeneous Inference Framework for a Deep Neural Network

A Survey on Hardware Accelerators for Large Language Models

swCUDA: Auto parallel code translation framework from CUDA to ATHREAD for new generation sunway supercomputer

Parallel and Heterogeneous Timing Analysis: Partition, Algorithm, and System

Recent source codes

Intel® SHMEM: Device initiated shared memory based communication library

AFOCL

miniLB: Lattice Botlzmann miniapp w/SYCL

2domination

MFC: Exascale simulation of multiphase/physics fluid dynamics

UVaFTLE: Lagrangian finite time Lyapunov exponent extraction for fluid dynamic applications

HPCToolkit

Open Catalog of Best Practices for Modernization and Optimization

Owl: Differential-based Side-Channel Leakage Detection for CUDA Applications

pSTL-Bench: Micro-benchmark suite designed to evaluate the scalability and efficiency of parallel C++ STL implementations

Most viewed papers (last 30 days)