Search Results for author: Jeff Zhang

Found 6 papers, 1 papers with code

ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators

no code implementations11 Feb 2018 Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg

Hardware accelerators are being increasingly deployed to boost the performance and energy efficiency of deep neural network (DNN) inference.

General Classification

Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator

no code implementations11 Feb 2018 Jeff Zhang, Tianyu Gu, Kanad Basu, Siddharth Garg

Due to their growing popularity and computational cost, deep neural networks (DNNs) are being targeted for hardware acceleration.

General Classification

Hierarchical Model for Long-term Video Prediction

no code implementations27 Jun 2017 Peter Wang, Zhongxia Yan, Jeff Zhang

Video prediction has been an active topic of research in the past few years.

Video Prediction

FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design

no code implementations2 Jul 2018 Jeff Zhang, Siddharth Garg

FATE proposes two novel ideas: (i) DelayNet, a DNN based timing model for MAC units; and (ii) a statistical sampling methodology that reduces the number of MAC operations for which timing simulations are performed.

General Classification

Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis

no code implementations2 Dec 2023 Kiran Thorat, Jiahui Zhao, Yaotian Liu, Hongwu Peng, Xi Xie, Bin Lei, Jeff Zhang, Caiwen Ding

The increasing use of Advanced Language Models (ALMs) in diverse sectors, particularly due to their impressive capability to generate top-tier content following linguistic instructions, forms the core of this investigation.

Language Modelling Large Language Model

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