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V. P. Sharma

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#edge computing Nov 2026

ULTRA-MACE: A Unified Low-Bit Trans-Precision Reconfigurable Multiply-Accumulate Compute Engine for Accelerated Computing

The rising demand for energy- and resource-efficient edge-AI platforms calls for compute engines that balance throughput, flexibility, and run-time efficiency under tight bandwidth constraints. This brief presents ULTRA-MACE, a unified low-bit transprecision reconfigurable multiply-accumulate compute engine (MACE) that...

V. P. Sharma, Shekhar Venkatpurwar, Mukul Lokhande et al. · 4 citations
Aug 2026

A Reconfigurable Transprecision SIMD-MAC PE for Mixed-Precision Edge-AI Applications

Edge-AI systems require arithmetic hardware that can support multiple numerical precisions under strict power and resource constraints. This work presents a reconfigurable transprecision SIMD multiply-accumulate (MAC) architecture supporting 1 ×BF16, 2 ×FP8, 4 ×FP4, and 2 ×INT4 operations within a unified framework for...

Shubham Kumar, V. P. Sharma, V. Neema et al. · 0 citations

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