Skip to main content

Research Repository

Advanced Search

Outputs (16)

HotReRAM: A Performance-Power-Thermal Simulation Framework for ReRAM based Caches (2025)
Journal Article
Chakraborty, S., Bunnam, T., Arunruerk, J., Agarwal, S., Yu, S., Shafik, R., & Sjalander, M. (online). HotReRAM: A Performance-Power-Thermal Simulation Framework for ReRAM based Caches. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, https://doi.org/10.1109/TCAD.2025.3546855

This paper proposes a comprehensive thermal modeling and simulation framework, HotReRAM, for resistive RAM (ReRAM)-based caches that is verified against a memristor circuit-level model. The simulation is driven by power traces based on cache accesses... Read More about HotReRAM: A Performance-Power-Thermal Simulation Framework for ReRAM based Caches.

MAFin: Maximizing Accuracy in FinFET based Approximated Real-Time Computing (2024)
Presentation / Conference Contribution
Chakraborty, S., Saha, S., Sjalander, M., & Mcdonald-Maier, K. (2024, June). MAFin: Maximizing Accuracy in FinFET based Approximated Real-Time Computing. Presented at DAC '24: 61st ACM/IEEE Design Automation Conference, San Francisco CA USA

We propose MAFin that exploits the unique temperature effect inversion (TEI) property of a FinFET based multicore platform, where processing speed increases with temperature, in the context of approximate real-time computing. In approximate real-time... Read More about MAFin: Maximizing Accuracy in FinFET based Approximated Real-Time Computing.

ARCTIC: Approximate Real-Time Computing in a Cache-Conscious Multicore Environment (2024)
Journal Article
Saha, S., Chakraborty, S., Agarwal, S., Själander, M., & McDonald-Maier, K. D. (2024). ARCTIC: Approximate Real-Time Computing in a Cache-Conscious Multicore Environment. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 43(10), 2944-2957. https://doi.org/10.1109/tcad.2024.3384442

Improving result-accuracy in approximate computing (AC)-based time-critical systems, without violating power constraints of the underlying circuitry, is gradually becoming challenging with the rapid progress in technology scaling. The execution span... Read More about ARCTIC: Approximate Real-Time Computing in a Cache-Conscious Multicore Environment.

TREAFET: Temperature-Aware Real-Time Task Scheduling for FinFET based Multicores (2024)
Journal Article
Chakraborty, S., Sharma, Y., & Moulik, S. (2024). TREAFET: Temperature-Aware Real-Time Task Scheduling for FinFET based Multicores. ACM Transactions on Embedded Computing Systems, 23(4), Article 61. https://doi.org/10.1145/3665276

The recent shift in the VLSI industry from conventional MOSFET to FinFET for designing contemporary chip-multiprocessor (CMP) has noticeably improved hardware platforms’ computing capabilities, but at the cost of several thermal issues. Unlike the co... Read More about TREAFET: Temperature-Aware Real-Time Task Scheduling for FinFET based Multicores.

NTHPC: Embracing Near-Threshold Operation for High Performance Multi-core Systems (2023)
Presentation / Conference Contribution
Chakraborty, S., Safarpour, M., & Silvén, O. (2023, July). NTHPC: Embracing Near-Threshold Operation for High Performance Multi-core Systems. Presented at SAMOS 2023, Samos, Greece

System-on-Chip (SoC) manufacturers use Core Level Redundancy (CLR) scheme to cope with fabrication defects. By providing redundancy with extra cores and logic blocks, CLR ensures delivering performance even if a small number of the functional units a... Read More about NTHPC: Embracing Near-Threshold Operation for High Performance Multi-core Systems.

Architecting Selective Refresh based Multi-Retention Cache for Heterogeneous System (ARMOUR) (2023)
Presentation / Conference Contribution
Agarwal, S., Chakraborty, S., & Själander, M. (2023, July). Architecting Selective Refresh based Multi-Retention Cache for Heterogeneous System (ARMOUR). Presented at 2023 60th ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, USA

The increasing use of chiplets, and the demand for high-performance yet low-power systems, will result in heterogeneous systems that combine both CPUs and accelerators (e.g., general-purpose GPUs). Chiplet based designs also enable the inclusion of e... Read More about Architecting Selective Refresh based Multi-Retention Cache for Heterogeneous System (ARMOUR).

ACCURATE: Accuracy Maximization for Real-Time Multicore Systems With Energy-Efficient Way-Sharing Caches (2022)
Journal Article
Saha, S., Chakraborty, S., Zhai, X., Ehsan, S., & McDonald-Maier, K. D. (2022). ACCURATE: Accuracy Maximization for Real-Time Multicore Systems With Energy-Efficient Way-Sharing Caches. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(12), 5246-5260. https://doi.org/10.1109/tcad.2022.3161407

Improving result accuracy in approximate computing (AC)-based real-time applications without violating deadlines has recently become an active research domain. Execution time of AC real-time tasks can individually be separated into: execution of the... Read More about ACCURATE: Accuracy Maximization for Real-Time Multicore Systems With Energy-Efficient Way-Sharing Caches.

DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore (2022)
Journal Article
Saha, S., Chakraborty, S., Agarwal, S., Gangopadhyay, R., Sjalander, M., & McDonald-Maier, K. (2023). DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore. IEEE Transactions on Parallel and Distributed Systems, 34(2), 718-733. https://doi.org/10.1109/tpds.2022.3228751

Enhancing result-accuracy in approximate computing (AC) based real-time systems, without violating power constraints of the underlying hardware, is a challenging problem. Execution of such AC real-time applications can be split into two parts: (i) th... Read More about DELICIOUS: Deadline-Aware Approximate Computing in Cache-Conscious Multicore.

STIFF: thermally safe temperature effect inversion aware FinFET based multi-core (2022)
Presentation / Conference Contribution
Chakraborty, S., Soteriou, V., & Själander, M. (2022, May). STIFF: thermally safe temperature effect inversion aware FinFET based multi-core. Presented at CF '22: 19th ACM International Conference on Computing Frontiers, Turin Italy

FinFET, a non-planar device, has become the prevalent choice for chip-multiprocessor (CMP) designs due to its lower leakage and improved scalability as compared to planar CMOS devices. FinFETs are fundamentally different from conventional CMOS circui... Read More about STIFF: thermally safe temperature effect inversion aware FinFET based multi-core.