Logic

  • No Comments

A RISC-V SoC With Reconfigurable Custom Instructions on a Synthesized eFPGA Fabric in 22nm FinFET

A RISC-V SoC With Reconfigurable Custom Instructions on a Synthesized eFPGA Fabric in 22nm FinFET 150 150
Author(s): Prashanth Mohan, Siddharth Das, Ken Mai

Abstract:

This letter presents a flexible and energy-efficient RISC-V system-on-chip (SoC) in 22nm FinFET technology, achieving state-of-the-art performance by tightly integrating the CPU with a synthesized embedded FPGA (embedded field programmable gate array (eFPGA)), enabling the implementation of reconfigurable custom instructions. The tight integration of the eFPGA with SoC scratchpad memory …

Published in: IEEE Solid-State Circuits Letters
Page(s): 321 – 324
Year of Publication: 2025
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2025.3618942
Publisher: IEEE

View on IEEE Xplore

  • No Comments

3-D Stacked HBM and Compute Accelerators for LLM: Optimizing Thermal Management and Power Delivery Efficiency

3-D Stacked HBM and Compute Accelerators for LLM: Optimizing Thermal Management and Power Delivery Efficiency 150 150
Author(s): Janak Sharda, Madison Manley, Jungyoun Kwak, Chinsung Park, Muhannad Bakir, Shimeng Yu

Abstract:

Advanced packaging is becoming essential for designing hardware accelerators for large language models (LLMs). Different architectures, such as 2.5-D integration of memory with logic, have been proposed; however, the bandwidth limits the throughput of the complete system. Recent works have proposed memory on logic systems, where high bandwidth memory (HBM) …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 116 – 122
Year of Publication: 2025
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2025.3617298
Publisher: IEEE

View on IEEE Xplore

  • No Comments

LIF Neuron Based on a Charge-Powered Ring Oscillator in Weak Inversion Achieving 201 fJ/SOP

LIF Neuron Based on a Charge-Powered Ring Oscillator in Weak Inversion Achieving 201 fJ/SOP 150 150
Author(s): Javier Granizo, Ruben Garvi, Ricardo Carrero, Luis Hernandez

Abstract:

This letter presents the experimental results of a leaky-integrate-and-fire neuron (LIF) neuron based on time-domain analog circuitry. This kind of neuron is the core of spiking neural network (SNN) used in edge applications. Edge applications require power-efficient neuron designs whose power consumption is extremely low when idle, and low when …

Published in: IEEE Solid-State Circuits Letters
Page(s): 249 – 252
Year of Publication: 2025
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2025.3603335
Publisher: IEEE

View on IEEE Xplore

Search this website