18 citations · 18 across the 9 of their papers we have counts for
5 papers · 1 filter
T-SAR: A Full-Stack Co-design for CPU-Only Ternary LLM Inference via In-Place SIMD ALU Reorganization
Hyunwoo Oh, KyungIn Nam, Rajat Bhattacharjya +7
Recent advances in LLMs have outpaced the computational and memory capacities of edge platforms that primarily employ CPUs, thereby challenging efficient and scalable deployment. W…
MUSIC-lite: Efficient MUSIC using Approximate Computing: An OFDM Radar Case Study
Rajat Bhattacharjya, Arnab Sarkar, Biswadip Maity +1
Multiple Signal Classification (MUSIC) is a widely used Direction of Arrival (DoA)/Angle of Arrival (AoA) estimation algorithm applied to various application domains such as autono…
Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing
Rajat Bhattacharjya, Alish Kanani, A Anil Kumar +3
In recent times, orthogonal frequency-division multiplexing (OFDM)-based radar has gained wide acceptance given its applicability in joint radar-communication systems. However, rea…
Locate: Low-Power Viterbi Decoder Exploration using Approximate Adders
Rajat Bhattacharjya, Biswadip Maity, Nikil Dutt
Viterbi decoders are widely used in communication systems, natural language processing (NLP), and other domains. While Viterbi decoders are compute-intensive and power-hungry, we c…
An Approximate Carry Estimating Simultaneous Adder with Rectification
Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh +2
Approximate computing has in recent times found significant applications towards lowering power, area, and time requirements for arithmetic operations. Several works done in recent…