high performance computing on graphics processing units: hgpu.org

Thomas C.P. Chau, Maciej Kurek, James S. Targett, Jake Humphrey, George Skouroupathis, Alison Eele, Jan Maciejowski, Benjamin Cope, Kathryn Cobden, Philip Leong, Peter Y.K. Cheung, Wayne Luk

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Tags: Algorithms, Computer science, CUDA, FPGA, Machine learning, nVidia, Package, Tesla C2070

May 29, 2014 by hgpu

GASPP: A GPU-Accelerated Stateful Packet Processing Framework

Giorgos Vasiliadis, Lazaros Koromilas, Michalis Polychronakis, Sotiris Ioannidis

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Security

May 26, 2014 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Programming

Cytochrome P450 site of metabolism prediction from 2D topological fingerprints using GPU accelerated probabilistic classifiers

Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

CPU, GPU and FPGA Implementations of MALD: Ceramic Tile Surface Defects Detection Algorithm

Unified Particle Physics for Real-Time Applications

Data Layout Optimization for Multi-Valued Containers in OpenCL

Parallel Distance Threshold Query Processing for Spatiotemporal Trajectory Databases on the GPU

Massive exploration of perturbed conditions of the blood coagulation cascade through GPU parallelization

Simulating of query processing on multiprocessor database systems with modern coprocessors

Performance Evaluation of Quicksort with GPU Dynamic Parallelism for Gene-Expression Quantile Normalization

Heterogeneous Computing for Solving System of the Linear Equations by the Conjugate Gradient Method

SMCGen: Generating Reconfigurable Design for Sequential Monte Carlo Applications

GASPP: A GPU-Accelerated Stateful Packet Processing Framework

Recent source codes

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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