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Kailash Prasad
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2020 – today
- 2024
- [c15]Saketh Gajawada, Aryan Gupta, Kailash Prasad, Joycee Mekie:
FP-BMAC: Efficient Approximate Floating-Point Bit-Parallel MAC Processor using IMC. VLSID 2024: 241-246 - [c14]Yathin Kumar Attuluri, Ruchit Chudasama, Kailash Prasad, Joycee Mekie:
FP-ATM: A Flexible Floating Point NOR Adder Tree Macro for In-Memory Computing. VLSID 2024: 247-252 - [c13]Monika Pokharia, Kailash Prasad, Ravi S. Hegde, Joycee Mekie:
Hybrid CMOS-Memristor Logic for Boosting the Power-Efficiency in Error Tolerant Applications. VLSID 2024: 431-436 - [c12]Kailash Prasad, Neel Shah
, Jinay Dagli, Joycee Mekie:
SDR-PUF: Sequence-Dependent Reconfigurable SRAM PUF with an Exponential CRP Space. VLSID 2024: 535-540 - 2023
- [j1]Sarabjeet Singh
HyGain: High-performance, Energy-efficient Hybrid Gain Cell-based Cache Hierarchy. ACM Trans. Archit. Code Optim. 20(2): 24:1-24:20 (2023) - [c11]Tom Glint
Hardware-Software Codesign of DNN Accelerators Using Approximate Posit Multipliers. ASP-DAC 2023: 469-474 - [c10]Sai Shubham, Shubham Pandit, Kailash Prasad, Joycee Mekie:
PVC-RAM:Process Variation Aware Charge Domain In-Memory Computing 6T-SRAM for DNNs. DAC 2023: 1-2 - [c9]Kailash Prasad, Aditya Biswas, Arpita Kabra, Joycee Mekie:
PIC-RAM: Process-Invariant Capacitive Multiplier Based Analog In Memory Computing in 6T SRAM. DATE 2023: 1-6 - [c8]Kailash Prasad, Sai Shubham, Aditya Biswas, Joycee Mekie:
Process Variation Resilient Current-Domain Analog In Memory Computing. DATE 2023: 1-2 - [c7]Kailash Prasad, Ayush Srivastava, Nistha Baruah, Joycee Mekie:
Fast and Robust Sense Amplifier for Digital In Memory Computing. VLSID 2023: 258-263 - 2022
- [c6]Alok Parmar, Kailash Prasad, Nanditha P. Rao, Joycee Mekie:
An Automated Approach to Compare Bit Serial and Bit Parallel In-Memory Computing for DNNs. ISCAS 2022: 2948-2952 - [c5]Alok Parmar, Kailash Prasad, Nanditha P. Rao, Joycee Mekie:
FastMem: A Fast Architecture-aware Memory Layout Design. ISQED 2022: 120-126 - [c4]Kailash Prasad
Impact of Operand Ordering in Approximate Multiplication in Neural Network and Image Processing Applications. VDAT 2022: 562-572 - 2021
- [c3]Kailash Prasad
Analysis of Word Line Shaping Techniques for In-Memory Computing in SRAMs. ICECS 2021: 1-6 - 2020
- [c2]Chandan Kumar Jha, Kailash Prasad
FPAD: A Multistage Approximation Methodology for Designing Floating Point Approximate Dividers. ISCAS 2020: 1-5 - [c1]Chandan Kumar Jha, Kailash Prasad
SEDAAF: FPGA Based Single Exact Dual Approximate Adders for Approximate Processors. ISCAS 2020: 1-5
Coauthor Index
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