Mehdi Asnaashari

dblp:62/8823 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

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

Systems, architecture and hardware · 2 · 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 · 81% Integrated circuit design · 19%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems
cache
0.512021
Monolithically Integrating Non-Volatile Main Memory over the Last-Level Cache · ACM Trans. Archit. Code Optim. 2021
Memory systems › memory hierarchy › cache hierarchy
last-level cache
0.512021
Monolithically Integrating Non-Volatile Main Memory over the Last-Level Cache · ACM Trans. Archit. Code Optim. 2021
Integrated circuit design
monolithic integration
0.512021
Monolithically Integrating Non-Volatile Main Memory over the Last-Level Cache · ACM Trans. Archit. Code Optim. 2021
Memory systems › non-volatile memory
non-volatile main memory
0.512021
Monolithically Integrating Non-Volatile Main Memory over the Last-Level Cache · ACM Trans. Archit. Code Optim. 2021
Memory systems
non-volatile memory
0.512021
Monolithically Integrating Non-Volatile Main Memory over the Last-Level Cache · ACM Trans. Archit. Code Optim. 2021
Memory systems
processing-in-memory
0.112021
Monolithically Integrating Non-Volatile Main Memory over the Last-Level Cache · ACM Trans. Archit. Code Optim. 2021

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

simulation · 0.5
YearPublicationVenuePosition
2021 Monolithically Integrating Non-Volatile Main Memory over the Last-Level Cache
abstract
Many emerging non-volatile memories are compatible with CMOS logic, potentially enabling their integration into a CPU’s die. This article investigates such monolithically integrated CPU–main memory chips. We exploit non-volatile memories employing 3D crosspoint subarrays, such as resistive RAM (ReRAM), and integrate them over the CPU’s last-level cache (LLC). The regular structure of cache arrays enables co-design of the LLC and ReRAM main memory for area efficiency. We also develop a streamlined LLC/main memory interface that employs a single shared internal interconnect for both the cache and main memory arrays, and uses a unified controller to service both LLC and main memory requests. We apply our monolithic design ideas to a many-core CPU by integrating 3D ReRAM over each core’s LLC slice. We find that co-design of the LLC and ReRAM saves 27% of the total LLC–main memory area at the expense of slight increases in delay and energy. The streamlined LLC/main memory interface saves an additional 12% in area. Our simulation results show monolithic integration of CPU and main memory improves performance by 5.3× and 1.7× over HBM2 DRAM for several graph and streaming kernels, respectively. It also reduces the memory system’s energy by 6.0× and 1.7×, respectively. Moreover, we show that the area savings of co-design permits the CPU to have 23% more cores and main memory, and that streamlining the LLC/main memory interface incurs a small 4% performance penalty.
Candace Walden, Devesh Singh, Meenatchi Jagasivamani, Shang Li 0001, Luyi Kang, Mehdi Asnaashari, Sylvain Dubois, Bruce L. Jacob, Donald Yeung
ACM Trans. Archit. Code Optim.6
2015 3D ReRAM with Field Assisted Super-Linear Threshold (FASTTM) Selector technology for super-dense, low power, low latency data storage systems
abstract
3D Resistive Ram (ReRAM) technology exhibits the best attributes to suit present and emerging non-volatile memory storage applications. However, the major challenge to make ReRAM work in a 3D crossbar array is the integration of a selector device with a ReRAM device. The selector device will need to solve the so called “sneak path” barrier and enable large density memory arrays with low power consumption. Here, we report a Field Assisted Superlinear Threshold (FASTTM) Selector technology that overcomes the sneak path barrier with a selectivity ratio of 10E10. The switching and recover speed, on/off ratio, switching slope, program, erase, and read endurance, and variability of the FASTTMselector will be discussed. Prototype 1S1R devices with the FASTTM selector integrated with a low current ReRAM cell have been demonstrated and characterized. Figure 1 shows the representative I-V characteristics of a ReRAM cell with integrated FASTTMselector.
Sung Hyun Jo, Tanmay Kumar, Mehdi Asnaashari, Wei Lu 0003, Hagop Nazarian
ASP-DAC3