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20152026
most citedShiftsReduce: Minimizing Shifts in Racetrack Memory 4.0

32 citations · 134 across the 34 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.DC2019

Achieving Determinism in Adaptive AUTOSAR

Christian Menard, Andres Goens, Marten Lohstroh +1

AUTOSAR Adaptive Platform is an emerging industry standard that tackles the challenges of modern automotive software design, but does not provide adequate mechanisms to enforce det…

cs.DC2019★ 12 cited

Generalized Data Placement Strategies for Racetrack Memories

Asif Ali Khan, Andres Goens, Fazal Hameed +1

Ultra-dense non-volatile racetrack memories (RTMs) have been investigated at various levels in the memory hierarchy for improved performance and reduced energy consumption. However…

cs.PL2019

RecordFlux: Formal Message Specification and Generation of Verifiable Binary Parsers

Tobias Reiher, Alexander Senier, Jeronimo Castrillon +1

Various vulnerabilities have been found in message parsers of protocol implementations in the past. Even highly sensitive software components like TLS libraries are affected regula…

cs.PL2019★ 1 cited

Category-Theoretic Foundations of "STCLang: State Thread Composition as a Foundation for Monadic Dataflow Parallelism"

Sebastian Ertel, Justus Adam, Norman A. Rink +2

This manuscript gives a category-theoretic foundation to the composition of State Threads as a Foundation for Monadic Dataflow Parallelism. It serves as a supplementary formalizati…

cs.ET2019★ 32 cited

ShiftsReduce: Minimizing Shifts in Racetrack Memory 4.0

Asif Ali Khan, Fazal Hameed, Robin Blaesing +2

Racetrack memories (RMs) have significantly evolved since their conception in 2008, making them a serious contender in the field of emerging memory technologies. Despite key techno…