16 citations · 17 across the 9 of their papers we have counts for
9 papers
HammerSim: A System-Level Tool to Model RowHammer
Kaustav Goswami, Ayaz Akram, Hari Venugopalan +1
Modern architecture research relies on simulators to evaluate system security, yet analyzing emerging hardware vulnerabilities like RowHammer requires full-system visibility. As Ro…
Simulation-Driven Evaluation of Chiplet-Based Architectures Using VisualSim
Wajid Ali, Ayaz Akram, Deepak Shankar
This paper focuses on the simulation of multi-die System-on-Chip (SoC) architectures using VisualSim, emphasizing chiplet-based system modeling and performance analysis. Chiplet te…
TDRAM: Tag-enhanced DRAM for Efficient Caching
Maryam Babaie, Ayaz Akram, Wendy Elsasser +6
As SRAM-based caches are hitting a scaling wall, manufacturers are integrating DRAM-based caches into system designs to continue increasing cache sizes. While DRAM caches can impro…
Accelerating Computer Architecture Simulation through Machine Learning
Wajid Ali, Ayaz Akram
This paper presents our approach to accelerate computer architecture simulation by leveraging machine learning techniques. Traditional computer architecture simulations are time-co…
Enabling Design Space Exploration of DRAM Caches in Emerging Memory Systems
Maryam Babaie, Ayaz Akram, Jason Lowe-Power
The increasing growth of applications' memory capacity and performance demands has led the CPU vendors to deploy heterogeneous memory systems either within a single system or via d…
A Cycle-level Unified DRAM Cache Controller Model for 3DXPoint Memory Systems in gem5
Maryam Babaie, Ayaz Akram, Jason Lowe-Power
To accommodate the growing memory footprints of today's applications, CPU vendors have employed large DRAM caches, backed by large non-volatile memories like Intel Optane (e.g., In…
The Tribes of Machine Learning and the Realm of Computer Architecture
Ayaz Akram, Jason Lowe-Power
Machine learning techniques have influenced the field of computer architecture like many other fields. This paper studies how the fundamental machine learning techniques can be app…
Performance Analysis of Scientific Computing Workloads on Trusted Execution Environments
Ayaz Akram, Anna Giannakou, Venkatesh Akella +2
Scientific computing sometimes involves computation on sensitive data. Depending on the data and the execution environment, the HPC (high-performance computing) user or data provid…
The gem5 Simulator: Version 20.0+
Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram +75
The open-source and community-supported gem5 simulator is one of the most popular tools for computer architecture research. This simulation infrastructure allows researchers to mod…