high performance computing on graphics processing units: hgpu.org

hgpu.org » Databases

Accelerating bioinformatics applications on CUDA-enabled multi-GPU systems

Robin Kobus

View

Download (PDF)

Source codes

Tags: Bioinformatics, Biology, CUDA, Databases, Hashing, nVidia, nVidia Quadro GV100, Package, Sequence alignment, Tesla P100, Tesla V100, Thesis

November 27, 2023 by hgpu

GDlog: A GPU-Accelerated Deductive Engine

Yihao Sun, Ahmedur Rahman Shovon, Thomas Gilray, Kristopher Micinski, Sidharth Kumar

View

Download (PDF)

Tags: Computer science, CUDA, Databases, nVidia, nVidia A100

November 12, 2023 by hgpu

Novel insights on atomic synchronization for sort-based group-by on GPUs

Bala Gurumurthy, David Broneske, Martin Schäler, Thilo Pionteck

View

Download (PDF)

Source codes

Tags: Computer science, Databases, Hashing, Heterogeneous systems, nVidia, nVidia A100, nVidia GeForce GTX 1050 Ti, nVidia GeForce RTX 2080 Ti, nVidia V100, OpenCL, Package, Sorting

August 28, 2023 by hgpu

Quantifying OpenMP: Statistical Insights into Usage and Adoption

Tal Kadosh, Niranjan Hasabnis, Timothy Mattson, Yuval Pinter, Gal Oren

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Databases, Fortran, HPC, MPI, nVidia, OpenACC, OpenCL, OpenMP, Package, SYCL

August 20, 2023 by hgpu

Efficiency without Tears: Securing Multilingual Programs with TRINITY

Hao Zhu, Baojian Hua, Xinrong Lin, Yufei Wu

View

Download (PDF)

Tags: Computer science, Databases, Heterogeneous systems, HPC, Machine learning, OpenCL, Security

July 30, 2023 by hgpu

Fast Knowledge Graph Completion using Graphics Processing Units

Chun-Hee Lee, Dong-oh Kang, Hwa Jeon Song

View

Download (PDF)

Tags: AI, Algorithms, Computer science, CUDA, Databases, Graph theory, nVidia, nVidia A100

July 30, 2023 by hgpu

Out-of-the-box library support for DBMS operations on GPUs

Harish Kumar Harihara Subramanian, Bala Gurumurthy, Gabriel Campero Durand, David Broneske, Gunter Saake

View

Download (PDF)

Source codes

Tags: Computer science, Databases, Hashing, Heterogeneous systems, nVidia, nVidia GeForce RTX 2080 Ti, nVidia V100, OpenCL, Package, Performance

July 2, 2023 by hgpu

RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing

Justus Henneberg, Felix Schuhknecht

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Databases, nVidia, nVidia RTX A6000, Package, Raytracing

March 5, 2023 by hgpu

Revisiting Query Performance in GPU Database Systems

Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim

View

Download (PDF)

Tags: Computer science, CUDA, Databases, nVidia, nVidia A100

February 5, 2023 by hgpu

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

Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee

View

Download (PDF)

Tags: Bioinformatics, Biology, CUDA, Databases, nVidia, nVidia GeForce GTX 1650, nVidia GeForce RTX 3090, Sequence alignment, Smith-Waterman algorithm, String matching

January 29, 2023 by hgpu

Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism

Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Databases, Deep learning, nVidia, nVidia Titan RTX, Package

December 4, 2022 by hgpu

Novel Parallel Approaches to Efficiently Solve Spatial Problems on Heterogeneous CPU-GPU Systems

Andrés Jesús Sánchez Fernández

View

Download (PDF)

Tags: Algorithms, Computer science, Databases, Heterogeneous systems, nVidia, nVidia GeForce GT 1030, nVidia GeForce GTX 1050 Ti, nVidia GeForce GTX 980, Thesis

July 3, 2022 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C+

AFOCL: Portable OpenCL Programming of FPGAs via Automated Built-in Kernel Management

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types

pp-template: Template for Performance-Portable code development, targeting HOST-DEVICE computer architectures

An approach to performance portability through generic programming

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Accelerating bioinformatics applications on CUDA-enabled multi-GPU systems

GDlog: A GPU-Accelerated Deductive Engine

Novel insights on atomic synchronization for sort-based group-by on GPUs

Quantifying OpenMP: Statistical Insights into Usage and Adoption

Efficiency without Tears: Securing Multilingual Programs with TRINITY

Fast Knowledge Graph Completion using Graphics Processing Units

Out-of-the-box library support for DBMS operations on GPUs

RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing

Revisiting Query Performance in GPU Database Systems

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

Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism

Novel Parallel Approaches to Efficiently Solve Spatial Problems on Heterogeneous CPU-GPU Systems

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Kernel Tuner

GT4Py: GridTools for Python

miniBUDE: A BUDE virtual-screening benchmark, in many programming models

gossip: Efficient Communication Primitives for Multi-GPU Systems

AUCMEDI: a framework for Automated Classification of Medical Images

Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C+

AFOCL: Portable OpenCL Programming of FPGAs via Automated Built-in Kernel Management

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types

pp-template: Template for Performance-Portable code development, targeting HOST-DEVICE computer architectures

Most viewed papers (last 30 days)