3 citations · 4 across the 8 of their papers we have counts for
5 papers · 1 filter
Mega: A 22 nm Convolutional Spiking Neural Network Accelerator Achieving 0.375 pJ/SOP for Efficient Edge Vision
Rick Luiken, Manil Dev Gomony, Sander Stuijk
Convolutional Spiking Neural Networks (SNN) offer the potential for highly energy-efficient vision processing by exploiting sparse, event-driven computation. However, existing SNN…
CIMple: Standard-cell SRAM-based CIM with LUT-based split softmax for attention acceleration
Bas Ahn, Xingjian Tao, Manil Dev Gomony +2
Large Language Models (LLMs) such as LLaMA and DeepSeek, are built on transformer architectures, which have become a standard model for achieving state-of-the-art performance in na…
LinkBo: An Adaptive Single-Wire, Low-Latency, and Fault-Tolerant Communications Interface for Variable-Distance Chip-to-Chip Systems
Bochen Ye, Gustavo Naspolini, Kimmo Salo +1
Cost-effective embedded systems necessitate utilizing the single-wire communication protocol for inter-chip communication, thanks to its reduced pin count in comparison to the mult…
A Unified Framework for Mapping and Synthesis of Approximate R-Blocks CGRAs
Georgios Alexandris, Panagiotis Chaidos, Alexis Maras +5
The ever-increasing complexity and operational diversity of modern Neural Networks (NNs) have caused the need for low-power and, at the same time, high-performance edge devices for…
BrainTTA: A 35 fJ/op Compiler Programmable Mixed-Precision Transport-Triggered NN SoC
Maarten Molendijk, Floran de Putter, Manil Gomony +2
Recently, accelerators for extremely quantized deep neural network (DNN) inference with operand widths as low as 1-bit have gained popularity due to their ability to largely cut do…