1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
Teaching Experiences using the RVfpga Package
D. Chaver, S. Harris, L. Pinuel +13
The RVfpga course offers a solid introduction to computer architecture using the RISC-V instruction set and FPGA technology. It focuses on providing hands-on experience with real-w…
Improving the Representativeness of Simulation Intervals for the Cache Memory System
Nicolas Bueno, Fernando Castro, Luis Pinuel +2
Accurate simulation techniques are indispensable to efficiently propose new memory or architectural organizations. As implementing new hardware concepts in real systems is often no…