11 citations · 32 across the 10 of their papers we have counts for
4 papers · 1 filter
Compressed Real Numbers for AI: a case-study using a RISC-V CPU
Federico Rossi, Marco Cococcioni, Roger Ferrer Ibàñez +5
As recently demonstrated, Deep Neural Networks (DNN), usually trained using single precision IEEE 754 floating point numbers (binary32), can also work using lower precision. Theref…
Open-Source GEMM Hardware Kernels Generator: Toward Numerically-Tailored Computations
Louis Ledoux, Marc Casas
Many scientific computing problems can be reduced to Matrix-Matrix Multiplications (MMM), making the General Matrix Multiply (GEMM) kernels in the Basic Linear Algebra Subroutine (…
Characterizing the impact of last-level cache replacement policies on big-data workloads
Alexandre Valentin Jamet, Lluc Alvarez, Marc Casas
In recent years, graph-processing has become an essential class of workloads with applications in a rapidly growing number of fields. Graph-processing typically uses large input se…
Optimization of SpGEMM with Risc-V vector instructions
Valentin Le Fèvre, Marc Casas
The Sparse GEneral Matrix-Matrix multiplication (SpGEMM) is a fundamental routine extensively used in domains like machine learning or graph analytics. Despite its…