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Farhan Nasrullah

dblp:241/4278 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

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

Systems, architecture and hardware · 1

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 · 91% Processor architecture and microarchitecture · 9%

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

TopicWeightPapersLastEvidence papers
Memory systems › cache
DRAM cache
0.412019
ReTagger: An Efficient Controller for DRAM Cache Architectures · DAC 2019
Memory systems › cache › DRAM cache
DRAM cache controller
0.412019
ReTagger: An Efficient Controller for DRAM Cache Architectures · DAC 2019
Memory systems › processing-in-memory
near-data processing
0.412019
ReTagger: An Efficient Controller for DRAM Cache Architectures · DAC 2019
Processor architecture and microarchitecture › multi-chip architecture
3d stacking
0.112019
ReTagger: An Efficient Controller for DRAM Cache Architectures · DAC 2019

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

simulation · 0.4
YearPublicationVenuePosition
2019 ReTagger: An Efficient Controller for DRAM Cache Architectures
abstract
3D die-stacking has enabled energy-efficient solutions for near data processing by integrating multiple dice of high-density memory layers and processor cores within the same package. One promising approach is to employ the in-package memory as a gigascale last-level cache for data-intensive computing. Most existing in-package cache controllers rely on the command scheduling policies borrowed from the off-chip DRAM system. Regrettably, these control policies are not specifically tailored for in-package cache traffics, which results in a limited bandwidth efficiency. This paper proposes ReTagger, a DRAM cache controller that employs repeated tags to alleviate the cost of DRAM row buffer misses. Our simulation results on a set of ten data-intensive applications indicate an average of 20% performance improvement for the proposed controller over the state-of-the-art DRAM caches.
Mahdi Nazm Bojnordi, Farhan Nasrullah
DAC2