Inderjit Singh
Inderjit Singh has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Balwinder Raj
Department of ECE, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, India
2 shared publications - Mamta Khosla
NIT Jalandhar
2 shared publications - Adityabir Singh
Chandigarh University
1 shared publication Balwinder Raj
Department of ECE, NITTTR, Chandigarh, India
1 shared publication- Brajesh Kumar Kaushik
Indian Institute of Technology Roorkee
1 shared publication Mamta Khosla
Department of ECE, National Institute of Technology, Jalandhar, Punjab, India
1 shared publication
Latest Publications
- 26 October 2024
- Published by World Scientific Pub Co Pte Ltd in Journal of Circuits, Systems and Computers
- Vol. 34 (03)
Performance Analysis of Spin Orbit Torque Magneto-Resistive RAM Caches in 4-core ARM Systems
Spin Orbit Torque Magnetic Random Access Memory (SOT–)MRAM is gaining interest as it eradicates several limitations posed by its predecessor Spin Transfer Torque (STT-)MRAM, yet inherits all its advantages. This work explores in detail, the suitability of SOT–MRAM implemented caches in different levels of memory hierarchy in comparison to conventional SRAM technology, over several performance parameters like area, energy consumption and execution time for an embedded benchmark suite. Our circuit-level analysis shows that SOT–MRAM outperforms SRAM for caches ([ ] KB), and only lags in area and read-access energy for smaller caches. A typical 512 KB SOT–MRAM cache improves area by 1%, read/write latency by 33/38%, and leakage by over 99% than that of SRAM memory technology. The architecture-level analysis confirms that on average SOT–MRAM is energy efficient by 74% in L1, 97.2% in L2 and 89.3% in both (i.e., L1 + L2) implementations against SRAM, for a 22[ ]nm technology node. We also estimate that SOT–MRAM only solution offers [ ]% energy savings and [ ]% better EDP than Hybrid (L1-SRAM and L2-SOT) memory hierarchy for multi-core ARM processors.
- 26 October 2024
- Published by World Scientific Pub Co Pte Ltd in Journal of Circuits, Systems and Computers
- Vol. 34 (03)
Performance Analysis of Spin Orbit Torque Magneto-Resistive RAM Caches in 4-core ARM Systems
Spin Orbit Torque Magnetic Random Access Memory (SOT–)MRAM is gaining interest as it eradicates several limitations posed by its predecessor Spin Transfer Torque (STT-)MRAM, yet inherits all its advantages. This work explores in detail, the suitability of SOT–MRAM implemented caches in different levels of memory hierarchy in comparison to conventional SRAM technology, over several performance parameters like area, energy consumption and execution time for an embedded benchmark suite. Our circuit-level analysis shows that SOT–MRAM outperforms SRAM for caches ([ ] KB), and only lags in area and read-access energy for smaller caches. A typical 512 KB SOT–MRAM cache improves area by 1%, read/write latency by 33/38%, and leakage by over 99% than that of SRAM memory technology. The architecture-level analysis confirms that on average SOT–MRAM is energy efficient by 74% in L1, 97.2% in L2 and 89.3% in both (i.e., L1 + L2) implementations against SRAM, for a 22[ ]nm technology node. We also estimate that SOT–MRAM only solution offers [ ]% energy savings and [ ]% better EDP than Hybrid (L1-SRAM and L2-SOT) memory hierarchy for multi-core ARM processors.
- 28 January 2024
- Published by Springer Nature
- p. 13-24
SOT-MRAM Memories for Energy Efficient Embedded and AI Applications
- 28 January 2024
- Published by Springer Nature
- p. 13-24
SOT-MRAM Memories for Energy Efficient Embedded and AI Applications
- 16 November 2020
- Published by World Scientific Pub Co Pte Ltd in SPIN
- Vol. 10 (04)
Comparative Analysis of Spintronic Memories for Low Power on-chip Caches
- 16 November 2020
- Published by World Scientific Pub Co Pte Ltd in SPIN
- Vol. 10 (04)
Comparative Analysis of Spintronic Memories for Low Power on-chip Caches