Anuradha Srinivasan

dblp:216/3587 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2025
0009-0004-8878-9356ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 3 · 3 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021
YearPublicationVenuePosition
2025 System-Level Validation Across Multiple Platforms to build a Robust 2.5D Multi Foundry Chiplet Solution
Srivatsa Rangachar Srinivasa, Dileep Kurian, Paolo A. Aseron, Prerna Budhkar, Vinayak Honkote, Dan Lake, Jaykant Timbadiya, Satish Yada, Sureshbabu Kadavakollu, James Greensky, Gauthaman Murali, Anuradha Srinivasan, Ragh Kuttappa, Tanay Karnik
ACM Great Lakes Symposium on VLSI12
2022 Resonant Rotary Clock Synchronization with Active and Passive Silicon Interposer
abstract
Rotary traveling wave oscillators (RTWO) are designed to provide a high frequency clock signal through the silicon interposer to multiple chiplets in a heterogeneous 2.5D system. In particular, two different RTWO synchronization topologies are presented: 1) Active interposer RTWO and 2) passive interposer RTWO. The proposed topologies are evaluated across a silicon interposer with a dimension of 42 mm × 20 mm. Each topology is implemented with post-layout, parasitic extracted models for a clock frequency of ≈8 GHz. The performance metrics are presented for clock period, skew, rise time, fall time, and oscillation start-up and settling times across the multi-die system (MDS) with SPICE based simulations.
Ragh Kuttappa, Baris Taskin, Vinayak Honkote, Satish Yada, Jainaveen Sundaram, Dileep Kurian, Tanay Karnik, Anuradha Srinivasan
ISCAS8
2021 A 93 TOPS/Watt Near-Memory Reconfigurable SAD Accelerator for HEVC/AV1/JEM Encoding
abstract
Motion Estimation (ME) is a major bottleneck of a Video encoding pipeline. This paper presents a low power near memory Sum of Absolute Difference (SAD) accelerator for ME. The accelerator is composed of 64 modular SAD Processing Elements (PEs) on a Reconfigurable fabric, offering maximal parallelism to support traditional and futuristic Rate-Distortion-Optimization (RDO) schemes consistent with HEVC/AV1/JEM. The accelerator offers up-to 55% speedup over State-of-art accelerators and a 7x speedup when compared to a 12 core Intel Xeon E5 processor. Our solution achieves 93 TOPS/Watt running at 500MHz frequency, capable of processing real-time 4K 30fps video. Synthesized in 22nm process, the accelerator occupies 0.08mm2 and consumes 5.46mW dynamic power.
Jainaveen Sundaram, Srivatsa Rangachar Srinivasa, Dileep Kurian, Indranil Chakraborty, Sirisha Rani Kale, Nilesh Jain, Tanay Karnik, Ravi R. Iyer 0001, Anuradha Srinivasan
DATE9