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Valerio Pica

dblp:384/5278 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0004-2468-4029ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 61% Hardware reliability and fault tolerance · 39%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware reliability and fault tolerance
error correction
0.912025
Asymmetric and Adaptive Error Correction in STT-MRAM · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025
Memory systems
non-volatile memory
0.912025
Asymmetric and Adaptive Error Correction in STT-MRAM · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025
Memory systems › non-volatile memory › magnetic random access memory
STT-MRAM
0.912025
Asymmetric and Adaptive Error Correction in STT-MRAM · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025
Hardware reliability and fault tolerance
soft errors
0.312025
Asymmetric and Adaptive Error Correction in STT-MRAM · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025

Methods — techniques the papers use, named apart from their topics

hamming weight · 0.9error-correcting codes · 0.9
YearPublicationVenuePosition
2025 Asymmetric and Adaptive Error Correction in STT-MRAM
abstract
Spin-transfer torque magnetic random access memory (STT-MRAM) has emerged as a promising alternative to conventional CMOS memory technologies for on-chip cache replacement. Due to its superior access speeds, high endurance, and scalability, it is being extensively considered a promising candidate for last-level cache replacement. This technology has reached considerable industrial maturity, with several foundries now offering this emerging technology. Despite its advantages, STT-MRAM faces reliability challenges, primarily due to its asymmetric error characteristics during write and read operations, where the likelihood of a bit transitioning from$1\rightarrow 0$differs from that of$0\rightarrow 1$. Conventional Error Correcting Codes (ECCs) do not account for such asymmetry between these bit-flip types and fall short of providing balanced error correction. This article introduces an efficient asymmetric and adaptive error correction in STT-MRAM based on the Hamming weight of data bits that operates with negligible overhead alongside a standard ECC framework. Our simulation findings indicate that the proposed technique offers substantial enhancement in reliability, measured by a cache word/block error rate, tested across the last level cache data for various SPEC CPU2017 benchmarks. This enhancement in reliability is achieved without inserting excessive memory and hardware overhead, and without impacting system performance, presenting a compelling case for enhancing the operational reliability of STT-MRAM.
Surendra Hemaram, Mehdi Baradaran Tahoori, Francky Catthoor, Siddharth Rao, Sebastien Couet, Tommaso Marinelli, Valerio Pica, Gouri Sankar Kar
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.7