34 citations · 49 across the 5 of their papers we have counts for
5 papers
ConvBench: A Comprehensive Benchmark for 2D Convolution Primitive Evaluation
Lucas Alvarenga, Victor Ferrari, Rafael Souza +2
Convolution is a compute-intensive operation placed at the heart of Convolution Neural Networks (CNNs). It has led to the development of many high-performance algorithms, such as I…
Fast Matrix Multiplication via Compiler-only Layered Data Reorganization and Intrinsic Lowering
Braedy Kuzma, Ivan Korostelev, João P. L. de Carvalho +4
The resurgence of machine learning has increased the demand for high-performance basic linear algebra subroutines (BLAS), which have long depended on libraries to achieve peak perf…
Tensor Slicing and Optimization for Multicore NPUs
Rafael Sousa, Marcio Pereira, Yongin Kwon +5
Although code generation for Convolution Neural Network (CNN) models has been extensively studied, performing efficient data slicing and parallelization for highly-constrai\-ned Mu…
Advancing Direct Convolution using Convolution Slicing Optimization and ISA Extensions
Victor Ferrari, Rafael Sousa, Marcio Pereira +4
Convolution is one of the most computationally intensive operations that must be performed for machine-learning model inference. A traditional approach to compute convolutions is k…
The OpenMP Cluster Programming Model
Hervé Yviquel, Marcio Pereira, Emílio Francesquini +9
Despite the various research initiatives and proposed programming models, efficient solutions for parallel programming in HPC clusters still rely on a complex combination of differ…