18 citations · 77 across the 10 of their papers we have counts for
10 papers
LFOC+: A Fair OS-level Cache-Clustering Policy for Commodity Multicore Systems
Juan Carlos Saez, Fernando Castro, Graziano Fanizzi +1
Commodity multicore systems are increasingly adopting hardware support that enables the system software to partition the last-level cache (LLC). This support makes it possible for…
Enabling performance portability of data-parallel OpenMP applications on asymmetric multicore processors
Juan Carlos Saez, Fernando Castro, Manuel Prieto-Matias
Asymmetric multicore processors (AMPs) couple high-performance big cores and low-power small cores with the same instruction-set architecture but different features, such as clock…
LFOC: A Lightweight Fairness-Oriented Cache Clustering Policy for Commodity Multicores
Adrián García-García, Juan Carlos Sáez, Fernando Castro +1
Multicore processors constitute the main architecture choice for modern computing systems in different market segments. Despite their benefits, the contention that naturally appear…
Reuse Detector: Improving the Management of STT-RAM SLLCs
Roberto RodrÍguez-RodrÍguez, Javier DÍaz, Fernando Castro +8
Various constraints of Static Random Access Memory (SRAM) are leading to consider new memory technologies as candidates for building on-chip shared last-level caches (SLLCs). Spin-…
Comparing Performance and Portability between CUDA and SYCL for Protein Database Search on NVIDIA, AMD, and Intel GPUs
Manuel Costanzo, Enzo Rucci, Carlos García Sánchez +2
The heterogeneous computing paradigm has led to the need for portable and efficient programming solutions that can leverage the capabilities of various hardware devices, such as NV…
Big-PERCIVAL: Exploring the Native Use of 64-Bit Posit Arithmetic in Scientific Computing
David Mallasén, Alberto A. Del Barrio, Manuel Prieto-Matias
The accuracy requirements in many scientific computing workloads result in the use of double-precision floating-point arithmetic in the execution kernels. Nevertheless, emerging re…
Migrating CUDA to oneAPI: A Smith-Waterman Case Study
Manuel Costanzo, Enzo Rucci, Carlos Garcia Sanchez +2
To face the programming challenges related to heterogeneous computing, Intel recently introduced oneAPI, a new programming environment that allows code developed in Data Parallel C…
LiveChess2FEN: a Framework for Classifying Chess Pieces based on CNNs
David Mallasén Quintana, Alberto Antonio del Barrio García, Manuel Prieto Matías
Automatic digitization of chess games using computer vision is a significant technological challenge. This problem is of much interest for tournament organizers and amateur or prof…
First Experiences Optimizing Smith-Waterman on Intel's Knights Landing Processor
Enzo Rucci, Carlos Garcia, Guillermo Botella +3
The well-known Smith-Waterman (SW) algorithm is the most commonly used method for local sequence alignments. However, SW is very computationally demanding for large protein databas…
HeSP: a simulation framework for solving the task scheduling-partitioning problem on heterogeneous architectures
Anton Rey, Francisco D. Igual, Manuel Prieto-Matías
In this paper we describe HeSP, a complete simulation framework to study a general task scheduling-partitioning problem on heterogeneous architectures, which treats recursive task…