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09/11/2023
Compressed Real Numbers for AI: a case-study using a RISC-V CPU
As recently demonstrated, Deep Neural Networks (DNN), usually trained us...
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05/23/2023
Open-Source GEMM Hardware Kernels Generator: Toward Numerically-Tailored Computations
Many scientific computing problems can be reduced to Matrix-Matrix Multi...
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05/11/2023
Characterizing the impact of last-level cache replacement policies on big-data workloads
In recent years, graph-processing has become an essential class of workl...
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03/04/2023
Optimization of SpGEMM with Risc-V vector instructions
The Sparse GEneral Matrix-Matrix multiplication (SpGEMM) C = A × B is a ...
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02/18/2022
Optimization of the Sparse Multi-Threaded Cholesky Factorization for A64FX
Sparse linear algebra routines are fundamental building blocks of a larg...
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09/18/2020
Generating Efficient DNN-Ensembles with Evolutionary Computation
In this work, we leverage ensemble learning as a tool for the creation o...
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04/05/2020
Reducing Data Motion to Accelerate the Training of Deep Neural Networks
This paper reduces the cost of DNNs training by decreasing the amount of...
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10/15/2018
Memory Vulnerability: A Case for Delaying Error Reporting
To face future reliability challenges, it is necessary to quantify the r...
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04/14/2018
