On-chip memory architectures in multi-core systems can occupy up to 70% of the die area and have a significant impact on system cost, performance, power dissipation, and time-to-market. Off-chip memory is not expected to scale well for high performance computing systems of the future. Designers must therefore carefully explore the memory hierarchy design space to select the appropriate scratchpad memories, caches, SRAM, DRAM, and emerging non-volatile memories to optimize for desired design constraints.
The research objective of this project is to investigate the memory requirements of modern parallel applications and understand its interactions with the on-chip communication infrastructure and other components on a manycore chip. The research focus of this exploration is to eventually design new memory components and architectures as well as CAD techniques and tools to assist the designer in optimizing the memory hierarchy for future manycore architectures. The project focuses on 2D and 3D stacked DRAM, phase-change RAM (PCRAM), spin-torque RAM (STT-RAM), resistive RAM (ReRAM), and silicon photonics for high performance, predictable latency, low energy, and high reliability. We are also working on utilizing reinforcement learning for runtime decision making in emerging memory and processing-in-memory substrates.
F. Sunny, A. Shaifee, B. Charbonnier, M. Nikdast, S. Pasricha, “COMET: A Cross-Layer Optimized Optical Phase Change Main Memory Architecture”, IEEE/ACM DATE, Mar 2024.
A. Shafiee, S. Pasricha, M. Nikdast, “Design-Space Exploration in PCM-based Photonic Memory”, ACM GLSVLSI, 2023.
K. Khan, S. Pasricha, R. G. Kim, “A Survey of Resource Management for Processing-in-Memory and Near-Memory Processing Architectures”, Journal of Low Power Electronics and Applications, Special Issue on Design Space Exploration and Resource Management of Multi/Many-Core Systems, Sep 2020.
V. Y. Raparti, S. Pasricha, “Approximate NoC and Memory Controller Architectures for GPGPU Accelerators“, IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 31, Iss 5., May 2020.
S. Bhosale, S. Pasricha, “SLAM: High Performance and Energy Efficient Hybrid Last Level Cache Architecture for Multicore Embedded Systems,” IEEE International Conference on Embedded Software and Systems (ICESS), Las Vegas, NV, USA, Jun. 2019
V. Y. Raparti, S. Pasricha, “RAPID: Memory-Aware NoC for Latency Optimized GPGPU Architectures“, IEEE Transactions on Multi-Scale Computing Systems (IEEE TMSCS), Vol. 4, No. 4, Oct-Dec 2018.
I. Thakkar, S. Pasricha, “DyPhase: A Dynamic Phase Change Memory Architecture with Symmetric Write Latency and Restorable Endurance”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, (TCAD), Volume: 37, Issue: 9 , Sept. 2018.
I. Thakkar, S. Pasricha, “DyPhase: A Dynamic Phase Change Memory Architecture with Symmetric Write Latency,” IEEE International Conference on VLSI Design (VLSID), Jan 2017.
I. Thakkar, S. Pasricha, “Massed Refresh: An Energy-Efficient Technique to Reduce Refresh Overhead in Hybrid Memory Cube Architectures,” IEEE International Conference on VLSI Design (VLSID), Jan 2016.
I. Thakkar, S. Pasricha, “3D-ProWiz: An Energy-Efficient and Optically-Interfaced 3D DRAM Architecture with Reduced Data Access Overhead”, IEEE Transactions on Multi-Scale Computing Systems (TMSCS), vol.1, no.3, pp.168-184, Sep. 2015.
I. Thakkar, S. Pasricha, “A Novel 3D Graphics DRAM Architecture for High-Performance and Low-Energy Memory Accesses,” IEEE International Conference on Computer Design (ICCD), Oct 2015.
S. Pasricha, I. Thakkar, “Re-architecting DRAM memory systems with 3D Integration and Photonic Interfaces”, Memory Architecture and Organization Workshop (MeAOW), Oct 2014
T. Pimpalkhute, S. Pasricha, “NoC Scheduling for Improved Application-Aware and Memory-Aware Transfers in Multi-Core Systems”, IEEE International Conference on VLSI Design (VLSID), Jan. 2014.
L. Bathen, Y. Ahn, S. Pasricha, N. Dutt, “MultiMaKe: Chip-Multiprocessor Driven Memory-aware Kernel Pipelining”, ACM Transactions on Embedded Computing Systems (TECS), 12(1), Mar 2013.
D. Cho, S. Pasricha, I. Issenin, N. Dutt, Y. Paek , “Adaptive Scratch Pad Memory Management for Dynamic Behavior of Multimedia Applications“, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, (TCAD), Vol. 28, No. 4, pp. 554-567, Apr 2009
L. A. D. Bathen, N. Dutt, S. Pasricha, “A Framework for Memory-aware Multimedia Application Mapping on Chip-Multiprocessors“,IEEE Workshop on Embedded Systems for Real-Time Multimedia (ESTIMedia), Atlanta, GA, Oct 2008
S. Pasricha, N. Dutt, “A Framework for Co-synthesis of Memory and Communication Architectures for MPSoC“, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Vol. 26, No. 3, pp. 408-420, Mar 2007
S. Pasricha, N. Dutt, “COSMECA: Application Specific Co-Synthesis of Memory and Communication Architectures for MPSoC“, IEEE/ACM Design Automation and Test in Europe Conference (DATE), Munich, Germany, Mar 2006