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.
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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%.