10 citations · 36 across the 14 of their papers we have counts for
3 papers · 1 filter
Evaluating Architectural Trade-offs in CGRAs: The Impact of Scratchpad Memory and Heterogeneity on Compute-Intensive Kernels
María José Belda, Lara Orlandic, Fernando Castro +3
Modern edge computing applications, particularly high-throughput stream processing like Vision Transformers (ViTs), demand massive spatial parallelism and efficient data movement u…
A comprehensive evaluation of spatial co-execution on GPUs using MPS and MIG technologies
Jorge Villarrubia, Luis Costero, Francisco D. Igual +1
To mitigate the increasingly common underutilization of computational resources in modern GPUs, spatial sharing methods enable multiple applications to use them simultaneously. Thi…
Exposing Embedded Matrix Multiplication with polyhedral transformations for CGRA compilation
Yuxuan Wang, María José Belda, Fernando Castro +3
Matrix-matrix multiplication (mmul) is a dominant computing pattern in edge workloads, but in real applications it is often embedded within larger affine programs and intertwined w…