high performance computing on graphics processing units: hgpu.org

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Hybrid Particle Lattice Boltzmann Shallow Water for interactive fluid simulations

Jesus Ojeda, Antonio Susin

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Tags: CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 280

July 11, 2014 by hgpu

Visualization and Correction of Automated Segmentation, Tracking and Lineaging from 5-D Stem Cell Image Sequences

Eric Wait, Mark Winter, Chris Bjornsson, Erzsebet Kokovay, Yue Wang, Susan Goderie, Sally Temple, Andrew Cohen

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Tags: Biology, Computer science, CUDA, Graphics, Image processing, Microscopy, nVidia, nVidia GeForce GTX 430, Visualization

July 11, 2014 by hgpu

Improving Performance and Energy Consumption of Runtime Schedulers for Dense Linear Algebra

Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Orti

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Task scheduling, Tesla S1070, Tesla S2050

July 10, 2014 by hgpu

Random Fields Generation on the GPU with the Spectral Turning Bands Method

Lars Hunger, Biagio Cosenza, Stefan Kimeswenger, Thomas Fahringer

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Tags: Algorithms, Astrophysics, CUDA, FFT, nVidia, nVidia GeForce GTX 550, OpenCL, Spectral methods

July 10, 2014 by hgpu

Understanding the SIMD Efficiency of Graph Traversal on GPU

Yichao Cheng, Hong An, Zhitao Chen, Feng Li, Zhaohui Wang, Xia Jiang, Yi Peng

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Performance, Tesla C2050

July 10, 2014 by hgpu

Parallelization of Multipattern Matching on GPU

Gaurav K. Bhamare, Satish S. Banait

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Pattern Search

July 9, 2014 by hgpu

Using GPU for query of email spam detection systems and IDS

Aleksandar Sokolovski, Saso Gelev

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro K 2000 M, Security

July 9, 2014 by hgpu

Analysis of RSA algorithm using GPU programming

Sonam Mahajan, Maninder Singh

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 630 M, RSA, Security

July 9, 2014 by hgpu

GiMMiK – Generating Bespoke Matrix Multiplication Kernels for Various Hardware Accelerators; Applications in High-Order Computational Fluid Dynamics

Bartosz D. Wozniak

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Tags: CUBLAS, CUDA, Fluid dynamics, Linear Algebra, Matrix multiplication, nVidia, OpenCL, Package, Python, Tesla K40, Thesis

July 7, 2014 by hgpu

Solving the Examination Timetabling Problem in GPUs

Vasileios Kolonias, George Goulas, Christos Gogos, Panayiotis Alefragis, Efthymios Housos

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, nVidia, nVidia GeForce GTX 580, Sparse matrix

July 7, 2014 by hgpu

Analysis of Surface Folding Patterns of DICCCOLS Using the GPU-Optimized Geodesic Field Estimate

Anirban Mukhopadhyay, Chul Woo Lim, Suchendra M. Bhandarkar, Hanbo Chen, Austin New, Tianming Liu, Khaled Rasheed, Thiab Taha

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Tags: Algorithms, Biology, CUDA, Diffusion tensor, Image registration, Neuroscience, nVidia, nVidia GeForce GTX 480

July 7, 2014 by hgpu

Parallelization of the Symmetric Indefinite Factorization

Anastasia Kruchinina

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Tags: Algorithms, Computer science, CUDA, Factorization, Mathematics, Nonlinear optimization, nVidia, Tesla S2050, Thesis

July 7, 2014 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

Hybrid Particle Lattice Boltzmann Shallow Water for interactive fluid simulations

Visualization and Correction of Automated Segmentation, Tracking and Lineaging from 5-D Stem Cell Image Sequences

Improving Performance and Energy Consumption of Runtime Schedulers for Dense Linear Algebra

Random Fields Generation on the GPU with the Spectral Turning Bands Method

Understanding the SIMD Efficiency of Graph Traversal on GPU

Parallelization of Multipattern Matching on GPU

Using GPU for query of email spam detection systems and IDS

Analysis of RSA algorithm using GPU programming

GiMMiK – Generating Bespoke Matrix Multiplication Kernels for Various Hardware Accelerators; Applications in High-Order Computational Fluid Dynamics

Solving the Examination Timetabling Problem in GPUs

Analysis of Surface Folding Patterns of DICCCOLS Using the GPU-Optimized Geodesic Field Estimate

Parallelization of the Symmetric Indefinite Factorization

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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