17 citations · 55 across the 19 of their papers we have counts for
12 papers · 1 filter
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…
Leveraging Multi-Instance GPUs through moldable task scheduling
Jorge Villarrubia, Luis Costero, Francisco D. Igual +1
NVIDIA MIG (Multi-Instance GPU) allows partitioning a physical GPU into multiple logical instances with fully-isolated resources, which can be dynamically reconfigured. This work h…
Balanced segmentation of CNNs for multi-TPU inference
Jorge Villarrubia, Luis Costero, Francisco D. Igual +1
In this paper, we propose different alternatives for convolutional neural networks (CNNs) segmentation, addressing inference processes on computing architectures composed by multip…
Improving inference time in multi-TPU systems with profiled model segmentation
Jorge Villarrubia, Luis Costero, Francisco D. Igual +1
In this paper, we systematically evaluate the inference performance of the Edge TPU by Google for neural networks with different characteristics. Specifically, we determine that, g…
Energy efficiency optimization of task-parallel codes on asymmetric architectures
Luis Costero, Francisco D. Igual, Katzalin Olcoz +1
We present a family of policies that, integrated within a runtime task scheduler (Nanox), pursue the goal of improving the energy efficiency of task-parallel executions with no int…
Leveraging knowledge-as-a-service (KaaS) for QoS-aware resource management in multi-user video transcoding
Luis Costero, Francisco D. Igual, Katzalin Olcoz +1
The coexistence of parallel applications in shared computing nodes, each one featuring different Quality of Service (QoS) requirements, carries out new challenges to improve resour…
Co-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors
Héctor Martínez, Sandra Catalán, Francisco D. Igual +3
This paper advocates for an intertwined design of the dense linear algebra software stack that breaks down the strict barriers between the high-level, blocked algorithms in LAPACK…
Parallel Implementations for Computing the Minimum Distance of a Random Linear Code on Multicomputers
Gregorio Quintana-Ortí, Fernando Hernando, Francisco D. Igual
The minimum distance of a linear code is a key concept in information theory. Therefore, the time required by its computation is very important to many problems in this area. In th…
Programming Parallel Dense Matrix Factorizations with Look-Ahead and OpenMP
Sandra Catalán, Adrián Castelló, Francisco D. Igual +2
We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using OpenMP, that departs from the legacy (or conventional) solution, which simply extra…
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…
Revisiting Conventional Task Schedulers to Exploit Asymmetry in ARM big.LITTLE Architectures for Dense Linear Algebra
Luis Costero, Francisco D. Igual, Katzalin Olcoz +1
Dealing with asymmetry in the architecture opens a plethora of questions from the perspective of scheduling task-parallel applications, and there exist early attempts to address th…
Performance and Energy Optimization of Matrix Multiplication on Asymmetric big.LITTLE Processors
Sandra Catalán, Francisco D. Igual, Rafael Mayo +3
Asymmetric processors have emerged as an appealing technology for severely energy-constrained environments, especially in the mobile market where heterogeneity in applications is m…