Search Results - "Dally, William"

The GPU Computing Era by Nickolls, John, Dally, William J

“…GPU computing is at a tipping point, becoming more widely used in demanding consumer applications and high-performance computing. This article describes the…”
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SpArch: Efficient Architecture for Sparse Matrix Multiplication by Zhang, Zhekai, Wang, Hanrui, Han, Song, Dally, William J.

“…Generalized Sparse Matrix-Matrix Multiplication (SpGEMM) is a ubiquitous task in various engineering and scientific applications. However, inner product based…”
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EIE: Efficient Inference Engine on Compressed Deep Neural Network by Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Pedram, Ardavan, Horowitz, Mark A., Dally, William J.

“…State-of-the-art deep neural networks (DNNs) have hundreds of millions of connections and are both computationally and memory intensive, making them difficult…”
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A Novel High-Efficiency Three-Phase Multilevel PV Inverter With Reduced DC-Link Capacitance by Chen, Tuofei, Gu, Lei, Dally, William J., Rivas-Davila, Juan, Fox, John

“…In this article, we present a novel three-phase multilevel inverter (MLI) design for photovoltaic applications which does not require large dc-link capacitors…”
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Evolution of the Graphics Processing Unit (GPU) by Dally, William J., Keckler, Stephen W., Kirk, David B.

“…Graphics processing units (GPUs) power today’s fastest supercomputers, are the dominant platform for deep learning, and provide the intelligence for devices…”
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Accelerating Chip Design With Machine Learning by Khailany, Brucek, Ren, Haoxing, Dai, Steve, Godil, Saad, Keller, Ben, Kirby, Robert, Klinefelter, Alicia, Venkatesan, Rangharajan, Zhang, Yanqing, Catanzaro, Bryan, Dally, William J.

“…Recent advancements in machine learning provide an opportunity to transform chip design workflows. We review recent research applying techniques such as deep…”
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A 0.297-pJ/Bit 50.4-Gb/s/Wire Inverter-Based Short-Reach Simultaneous Bi-Directional Transceiver for Die-to-Die Interface in 5-nm CMOS by Nishi, Yoshinori, Poulton, John W., Turner, Walker J., Chen, Xi, Song, Sanquan, Zimmer, Brian, Tell, Stephen G., Nedovic, Nikola, Wilson, John M., Dally, William J., Gray, C. Thomas

“…This article presents a clock-forwarded, inverter-based short-reach simultaneous bi-directional (ISR-SBD) physical layer (PHY) targeted for die-to-die…”
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LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update by Zhao, Jiawei, Dai, Steve, Venkatesan, Rangharajan, Zimmer, Brian, Ali, Mustafa, Liu, Ming-Yu, Khailany, Brucek, Dally, William J., Anandkumar, Anima

“…Representing deep neural networks (DNNs) in low-precision is a promising approach to enable efficient acceleration and memory reduction. Previous methods that…”
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GPUs and the Future of Parallel Computing by Keckler, S. W., Dally, W. J., Khailany, B., Garland, M., Glasco, D.

“…This article discusses the capabilities of state-of-the art GPU-based high-throughput computing systems and considers the challenges to scaling single-chip…”
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Darwin: A Genomics Coprocessor by Turakhia, Yatish, Bejerano, Gill, Dally, William J.

“…Long read sequencing is promising as it provides knowledge of a full spectrum of mutations in the human genome and generates more contiguous de novo…”
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A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm by Zimmer, Brian, Venkatesan, Rangharajan, Shao, Yakun Sophia, Clemons, Jason, Fojtik, Matthew, Jiang, Nan, Keller, Ben, Klinefelter, Alicia, Pinckney, Nathaniel, Raina, Priyanka, Tell, Stephen G., Zhang, Yanqing, Dally, William J., Emer, Joel S., Gray, C. Thomas, Keckler, Stephen W., Khailany, Brucek

“…Custom accelerators improve the energy efficiency, area efficiency, and performance of deep neural network (DNN) inference. This article presents a scalable…”
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A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm by Keller, Ben, Venkatesan, Rangharajan, Dai, Steve, Tell, Stephen G., Zimmer, Brian, Sakr, Charbel, Dally, William J., Gray, C. Thomas, Khailany, Brucek

“…The energy efficiency of deep neural network (DNN) inference can be improved with custom accelerators. DNN inference accelerators often employ specialized…”
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The Longshore Transport Enigma and Analysis of a 10-Year Record of Wind-Driven Nearshore Currents by Burnette, Carolina, Dally, William R.

“…Burnette, C. and Dally, W.R., 2018. The longshore transport enigma and analysis of a 10-year record of wind-driven nearshore currents. Previous analysis of a…”
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A 1.17-pJ/b, 25-Gb/s/pin Ground-Referenced Single-Ended Serial Link for Off- and On-Package Communication Using a Process- and Temperature-Adaptive Voltage Regulator by Poulton, John W., Wilson, John M., Turner, Walker J., Zimmer, Brian, Chen, Xi, Kudva, Sudhir S., Song, Sanquan, Tell, Stephen G., Nedovic, Nikola, Zhao, Wenxu, Sudhakaran, Sunil R., Gray, C. Thomas, Dally, William J.

“…This paper describes a short-reach serial link to connect chips mounted on the same package or on neighboring packages on a printed circuit board (PCB). The…”
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Elastic Buffer Flow Control for On-Chip Networks by Michelogiannakis, G., Dally, W. J.

“…Networks-on-chip (NoCs) were developed to meet the communication requirements of large-scale systems. The majority of current NoCs spend considerable area and…”
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A 0.190-pJ/bit 25.2-Gb/s/wire Inverter-Based AC-Coupled Transceiver for Short-Reach Die-to-Die Interfaces in 5-nm CMOS by Nishi, Yoshinori, Poulton, John W., Turner, Walker J., Chen, Xi, Song, Sanquan, Zimmer, Brian, Tell, Stephen G., Nedovic, Nikola, Wilson, John M., Dally, William J., Gray, C. Thomas

“…This article presents an inverter-based short-reach ac-coupled toggle (ISR-ACT) link targeted for short-reach die-to-die communication over silicon interposer…”
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Evaluating the Impact of Beach Nourishment on Surfing: Surf City, Long Beach Island, New Jersey, U.S.A by Dally, William R., Osiecki, Daniel A.

“…Dally, W.R. and Osiecki, D.A., 2018. Evaluating the impact of beach nourishment on surfing: Surf City, Long Beach Island, New Jersey, U.S.A. Utilizing the…”
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Energy Efficient On-Demand Dynamic Branch Prediction Models by Mohammadi, Milad, Han, Song, Atoofian, Ehsan, Baniasadi, Amirali, Aamodt, Tor M., Dally, William J.

“…The branch predictor unit (BPU) is among the main energy consuming components in out-of-order (OoO) processors. For integer applications, we find 16 percent of…”
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Champagne: Automated Whole-Genome Phylogenomic Character Matrix Method Using Large Genomic Indels for Homoplasy-Free Inference by Schull, James K, Turakhia, Yatish, Hemker, James A, Dally, William J, Bejerano, Gill

“…Abstract We present Champagne, a whole-genome method for generating character matrices for phylogenomic analysis using large genomic indel events. By…”
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A 0.54 pJ/b 20 Gb/s Ground-Referenced Single-Ended Short-Reach Serial Link in 28 nm CMOS for Advanced Packaging Applications by Poulton, John W., Dally, William J., Chen, Xi, Eyles, John G., Greer, Thomas H., Tell, Stephen G., Wilson, John M., Gray, C. Thomas

“…High-speed signaling over high density interconnect on organic package substrates or silicon interposers offers an attractive solution to the off-chip…”
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