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Mohammad Sadrosadati

Researcher at ETH Zurich

Publications -  53
Citations -  712

Mohammad Sadrosadati is an academic researcher from ETH Zurich. The author has contributed to research in topics: Computer science & Dram. The author has an hindex of 11, co-authored 35 publications receiving 367 citations. Previous affiliations of Mohammad Sadrosadati include University of Tehran & Sharif University of Technology.

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Proceedings Article

MQsim: a framework for enabling realistic studies of modern multi-queue SSD devices

TL;DR: MQSim faithfully models new high-bandwidth protocol implementations, steady-state SSD conditions, and the full end-to-end latency of requests in modern SSDs, and is released as an open-source tool, which can enable researchers to explore directions in new and different areas.
Proceedings ArticleDOI

FLIN: enabling fairness and enhancing performance in modern NVMe solid state drives

TL;DR: FLIN is a lightweight I/O request scheduling mechanism that provides fairness among requests from different applications that improves the fairness and performance of a wide range of enterprise and datacenter storage workloads, with an average improvement of 70% and 47%, respectively.
Journal ArticleDOI

DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks

TL;DR: In this paper, the authors perform a large-scale characterization of a wide variety of applications, across a wide range of application domains, to identify fundamental program properties that lead to data movement to/from main memory.
Proceedings ArticleDOI

Reducing DRAM latency via charge-level-aware look-ahead partial restoration

TL;DR: Across a wide variety of applications, the proposed charge-level-aware look-ahead partial restoration (CAL) improves the average performance of an 8-core system by 14.7%, and reduces average DRAM energy consumption by 11.3%.
Posted Content

FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching

TL;DR: A new substrate, FIGARO, is proposed that uses existing shared global buffers among subarrays within a DRAM bank to provide support for in-DRAM data relocation across subar-rays at the granularity of a single cache block, and it is shown that FIGCache outperforms state-of-the-art in- DRAM caching techniques, and that its performance gains are robust across many system and mechanism parameters.