scispace - formally typeset
F

Fernando Castro

Researcher at Complutense University of Madrid

Publications -  32
Citations -  248

Fernando Castro is an academic researcher from Complutense University of Madrid. The author has contributed to research in topics: Cache & Cache pollution. The author has an hindex of 9, co-authored 32 publications receiving 223 citations.

Papers
More filters
Proceedings ArticleDOI

Reducing writes in phase-change memory environments by using efficient cache replacement policies

TL;DR: This work presents a behavior analysis of conventional cache replacement policies in terms of the amount of write to main memory, and new last level cache (LLC) replacement algorithms are exposed, aimed at reducing the number of writes to PCM and hence increasing its lifetime, without significantly degrading system performance.
Journal ArticleDOI

Towards completely fair scheduling on asymmetric single-ISA multicore processors

TL;DR: Evaluation on real AMP hardware and using scheduler implementations in the Linux kernel demonstrates that ACFS achieves an average 23% fairness improvement over two state-of-the-art schemes, while providing higher system throughput.
Journal ArticleDOI

PMCTrack: Delivering performance monitoring counter support to the OS scheduler

TL;DR: This paper analyzes different case studies that demonstrate the flexibility, simplicity and powerful features of PMCTrack, a novel tool for the Linux kernel that provides a simple architecture-independent mechanism that makes it possible for the OS scheduler to access per-thread PMC data.
Proceedings ArticleDOI

ACFS: a completely fair scheduler for asymmetric single-isa multicore systems

TL;DR: This work proposes ACFS, an asymmetry-aware completely fair scheduler that seeks to optimize fairness while ensuring acceptable throughput, and demonstrates that ACFS achieves an average 11% fairness improvement over state-of-the-art schemes, while providing better system throughput.
Proceedings ArticleDOI

DMDC: Delayed Memory Dependence Checking through Age-Based Filtering

TL;DR: This paper introduces two new management schemes, a filtering scheme based on simple age-tracking and delayed memory dependence checking, which can easily avoid 95-98% of associative load queue (LQ) searches using only a few registers and cuts the energy spent on LQ by an average of 95%.