Codeplay implements MKL-BLAS for NVIDIA GPUs using SYCL and DPC++ - Codeplay Software Ltd
GitHub - wichtounet/etl-gpu-blas: Mini BLAS-like library for GPU (complementary to CUBLAS)
BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing
Combining OpenMP tasking and target (GPU) offloading on heterogeneous systems - YouTube
NVBLAS 논문
GitHub - AD2605/BLAS: This is a study of GPU architecture via implementing various BLAS routines
Comparison of different performance metrics of SYCL-BLAS on an Intel... | Download Scientific Diagram
MAGMA | NVIDIA Developer
XKBlas: a High Performance Implementation of BLAS-3 Kernels on Multi-GPU Server
Intel Larrabee alcanza 1TFLOP - 2,7x más rápido que una GT200
PDF) Fast Linear Algebra on GPU | Lukas Polok - Academia.edu
Performance of the Hypre GPU implementation of Level-1 BLAS... | Download Scientific Diagram
Accelerating GPU Applications with NVIDIA Math Libraries | NVIDIA Technical Blog
New AMD ROCm™ Information Portal - ROCm v4.5 and Above — ROCm 4.5.0 documentation
Parallel time integration using Batched BLAS (Basic Linear Algebra Subprograms) routines - ScienceDirect
![PDF] BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi- GPU Computing | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/49bc9ff4b6109a8fc35ba84602d182870bfce10d/6-TableII-1.png "PDF] BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi- GPU Computing | Semantic Scholar")
PDF] BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi- GPU Computing | Semantic Scholar
Multicore CPU vs GPU Computing - Dense Matrix-Vector multipl by Riccardo Caimano
FPGA/GPU Cluster – CMC Microsystems
What is CUDA? Parallel programming for GPUs | InfoWorld
Level-3 BLAS on a GPU: Picking the Low Hanging Fruit
Do GPU-based Basic Linear Algebra Subprograms (BLAS) improve the performance of standard modeling techniques in R?
PSBLAS-EXT | Parallel Sparse Computation Toolkit
II. Ejemplos de programación: Seis formas de implementar SAXPY
