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A Survey of System Architectures and Techniques for FPGA Virtualization

Masudul Hassan Quraishi, Erfan Bank Tavakoli, Fengbo Ren

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Tags: Computer science, FPGA, Hardware Architecture, HLS, OpenCL, survey, Virtualization

November 22, 2020 by hgpu

A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression

Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao

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Tags: Compression, Computer science, CUDA, Deep learning, Neural networks, nVidia, Package, Tesla V100

November 22, 2020 by hgpu

Ginkgo – A Math Library designed for Platform Portability

Terry Cojean, Yu-Hsiang "Mike" Tsai, Hartwig Anzt

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Tags: Computer science, CUDA, HIP, nVidia, Package, Performance, performance portability

November 22, 2020 by hgpu

GPURepair: Automated Repair of GPU Kernels

Saurabh Joshi, Gautam Muduganti

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Tags: Computer science, CUDA, OpenCL, Package, Software Engineering

November 22, 2020 by hgpu

Adaptive Data Migration in Load-Imbalanced HPC Applications

Parsa Amini

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Tags: Computer science, CUDA, Heterogeneous systems, HPC, load balancing, nVidia, Package, Tesla P100, Tesla V100, Thesis

November 15, 2020 by hgpu

Runtime Performances Benchmark for Knowledge Graph Embedding Methods

Angelica Sofia Valeriani

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Tags: Benchmarking, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 960, Package

November 15, 2020 by hgpu

FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear Modulation

Songxiang Liu, Yuewen Cao, Na Hu, Dan Su, Helen Meng

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Tags: Computer science, nVidia, Speech recognition, Tesla P40

November 15, 2020 by hgpu

Exploring the acceleration of Nekbone on reconfigurable architectures

Nick Brown

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Tags: Computer science, FPGA, HLS, nVidia, OpenCL, Tesla V100

November 15, 2020 by hgpu

Automatic GPU optimization through higher-order functions in functional languages

John Wikman

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Tags: Computer science, CUDA, nVidia, nVidia Quadro P 2000, Optimization, Thesis

November 15, 2020 by hgpu

Design and Performance Evaluation of Optimizations for OpenCL FPGA Kernels

Anthony M. Cabrera, Roger D. Chamberlain

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Tags: Computer science, FPGA, HLS, OpenCL, Optimization, Performance

November 8, 2020 by hgpu

Transparent Compiler and Runtime Specializations for Accelerating Managed Languages on FPGAs

Michail Papadimitriou, Juan Fumero, Athanasios Stratikopoulos, Foivos S. Zakkak, Christos Kotselidis

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Tags: Computer science, FPGA, HLS, Java, OpenCL, Optimization, Package, Programming Languages

November 8, 2020 by hgpu

AMGCL – A C++ library for efficient solution of large sparse linear systems

Denis Demidov

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Tags: Computer science, CUDA, Mathematical Software, MPI, OpenCL, Package, Sparse, Sparse linear iterative solvers

November 8, 2020 by hgpu

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

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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

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A Survey of System Architectures and Techniques for FPGA Virtualization

A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression

Ginkgo – A Math Library designed for Platform Portability

GPURepair: Automated Repair of GPU Kernels

Adaptive Data Migration in Load-Imbalanced HPC Applications

Runtime Performances Benchmark for Knowledge Graph Embedding Methods

FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear Modulation

Exploring the acceleration of Nekbone on reconfigurable architectures

Automatic GPU optimization through higher-order functions in functional languages

Design and Performance Evaluation of Optimizations for OpenCL FPGA Kernels

Transparent Compiler and Runtime Specializations for Accelerating Managed Languages on FPGAs

AMGCL – A C++ library for efficient solution of large sparse linear systems

Recent source codes

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)

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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

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