most citedEnergy efficiency optimization of task-parallel codes on asymmetric architectures

6 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC20246 cited

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…

cs.DC20243 cited

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…

cs.PF20245 cited

Acceleration and energy consumption optimization in cascading classifiers for face detection on low-cost ARM big.LITTLE asymmetric architectures

Alberto Corpas, Luis Costero, Guillermo Botella +3

This paper proposes a mechanism to accelerate and optimize the energy consumption of a face detection software based on Haar-like cascading classifiers, taking advantage of the fea…

cs.CL2023

Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM

Guillermo Alaejos, Adrián Castelló, Pedro Alonso-Jordá +3

We explore the utilization of the Apache TVM open source framework to automatically generate a family of algorithms that follow the approach taken by popular linear algebra librari…

cs.DC20232 cited

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…