John L. Gustafson - researchr alias

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Viewing Publication 1 - 48 from 48

2023

The Invention of Electronic Digital Computing - Plenary Panel SummaryJohn Vincent Atanasoff, Gordon Bell, Kiril L. Boyanov, Charles G. Call, Carl K. Chang, Thomas M. Conte, Vladimir Getov, John L. Gustafson, Hironori Kasahara, Dejan S. Milojicic, Michael R. Williams. jva 2023: 8 [doi]

Ten Persistent Myths About the Atanasoff-Berry ComputerJohn L. Gustafson. jva 2023: 1-7 [doi]

Decoding-Free Two-Input Arithmetic for Low-Precision Real NumbersJohn L. Gustafson, Marco Cococcioni, Federico Rossi 0003, Emanuele Ruffaldi, Sergio Saponara. conga 2023: 61-76 [doi]

Bedot: Bit Efficient Dot Product for Deep Generative ModelsNhut-Minh Ho, Duy Thanh Nguyen, John L. Gustafson, Weng-Fai Wong. conga 2023: 19-37 [doi]

Lossless FFTs Using Posit ArithmeticSiew Hoon Leong, John L. Gustafson. conga 2023: 1-18 [doi]

Towards a Better 16-Bit Number Representation for Training Neural NetworksHimeshi De Silva, Hongshi Tan, Nhut-Minh Ho, John L. Gustafson, Weng-Fai Wong. conga 2023: 114-133 [doi]

2022

Qtorch+: Next Generation Arithmetic for Pytorch Machine LearningNhut-Minh Ho, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong. conga 2022: 31-49 [doi]

A Memory Efficient FPGA Implementation of Offset-Free Explicit Model Predictive ControllerChaitanya Jugade, Deepak Ingole, Dayaram N. Sonawane, Michal Kvasnica, John L. Gustafson. tcst, 30(6):2646-2657, 2022. [doi]

2021

2020

Next Generation Arithmetic for Edge ComputingAndre Guntoro, Cecilia De la Parra, Farhad Merchant, Florent de Dinechin, John L. Gustafson, Martin Langhammer, Rainer Leupers, Sangeeth Nambiar. date 2020: 1357-1365 [doi]

Adaptive Posit: Parameter aware numerical format for deep learning inference on the edgeHamed Fatemi Langroudi, Vedant Karia, John L. Gustafson, Dhireesha Kudithipudi. cvpr 2020: 3123-3131 [doi]

2019

Deep Positron: A Deep Neural Network Using the Posit Number SystemZachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi. date 2019: 1421-1426 [doi]

2018

Making Strassen Matrix Multiplication SafeHimeshi De Silva, John L. Gustafson, Weng-Fai Wong. hipc 2018: 173-182 [doi]

2017

Beating Floating Point at its Own Game: Posit ArithmeticJohn L. Gustafson, Isaac T. Yonemoto. superfri, 4(2):71-86, 2017. [doi]

2016

A Radical Approach to Computation with Real NumbersJohn L. Gustafson. superfri, 3(2):38-53, 2016. [doi]

2010

Challenges and Future Directions of Software Technology: The Need for Explicit Programming EnvironmentsJohn L. Gustafson. compsac 2010: 8-9 [doi]

2006

Innovative technologies II - Acceleration technologies: understanding the differences and assessing what s right for youJohn L. Gustafson. sc 2006: 280 [doi]

The Quest for Linear Equation Solvers and the Invention of Electronic Digital ComputingJohn L. Gustafson. NAS 2006: 10-16 [doi]

2004

The Speed of Light Isn t What it Used to BeJohn L. Gustafson. icpads 2004: 463 [doi]

2001

The Mainstreaming of Interval ArithmeticJohn L. Gustafson. In Ulrich W. Kulisch, Rudolf Lohner, Axel Facius, editors, Perspectives on Enclosure Methods. pages 105-117, Springer, 2001. [doi]

1999

Conventional Benchmarks as a Sample of the Performance SpectrumJohn L. Gustafson, Rajat Todi. tjs, 13(3):321-342, 1999. [doi]

Evaluation of file access patterns using realistic I/O workloads for a cluster environmentRajat Todi, Gurpur M. Prabhu, Yuri Alexeev, John L. Gustafson. parco 1999: 689-696

1998

Distribution-Independent Hierarchical Algorithms for the N-body ProblemSrinivas Aluru, John L. Gustafson, Gurpur M. Prabhu, Fatih Erdogan Sevilgen. tjs, 12(4):303-323, 1998. [doi]

Conventional Benchmarks as a Sample of the Performance SpectrumJohn L. Gustafson, Rajat Todi. hicss 1998: 514-523 [doi]

1997

Parallel Hierarchical Global IlluminationQuinn Snell, John L. Gustafson. hpdc 1997: 12-19 [doi]

1996

Massively Parallel Searching for Better Algorithms or How to Do a Cross Product with Five MultiplicationsJohn L. Gustafson, Srinivas Aluru. sp, 5(3):203-217, 1996. [doi]

An Analytical Model of the HINT Performance MetricQuinn Snell, John L. Gustafson. sc 1996: 19 [doi]

1995

HINT: A new way to measure computer performanceJohn L. Gustafson, Quinn Snell. hicss 1995: 392-401 [doi]

1994

Truly distribution-independent algorithms for the N-body problemSrinivas Aluru, Gurpur M. Prabhu, John L. Gustafson. sc 1994: 420-428 [doi]

Teraflops and Other False GoalsJohn L. Gustafson. ieeecc, 2(2):5-6, 1994. [doi]

1993

Subtle Issues of SIMD Tree SearchSrinivas Aluru, John L. Gustafson. parco 1994: 49-56

A Massively Parallel Optimizer for Expression EvaluationSrinivas Aluru, John L. Gustafson. ics 1993: 97-106 [doi]

Commentary - The "Tar Baby" of Computing: Performance AnalysisJohn L. Gustafson. informs, 5(1):19-21, 1993. [doi]

1992

A random number generator for parallel computersSrinivas Aluru, Gurpur M. Prabhu, John L. Gustafson. pc, 18(8):839-847, 1992.

1991

1989

A radar simulation program for a 1024-processor hypercubeJohn L. Gustafson, Robert E. Benner, Mark P. Sears, Thomas D. Sullivan. sc 1989: 96-105 [doi]

A Radar Simulation Program for a 1024 Node HypercubeMark P. Sears, Robert E. Benner, John L. Gustafson. ppsc 1990: 226

1988

Programming and Performance on a Cube-Connected ArchitectureJohn L. Gustafson, G. R. Montry. compcon 1988: 97-100

Reevaluating Amdahl s LawJohn L. Gustafson. CACM, 31(5):532-533, 1988.

1986

Introducing Replicated VLSI to Supercomputing: the FPS-164/MAX Scientific ComputerAlan E. Charlesworth, John L. Gustafson. Computer, 19(3):10-23, 1986.

The Architecture of a Homogeneous Vector SupercomputerJohn L. Gustafson, Stuart Hawkinson, Ken Scott. icpp 1986: 649-652

The Architecture of a Homogeneous Vector SupercomputerJohn L. Gustafson, Stuart Hawkinson, Ken Scott. jpdc, 3(3):297-304, 1986.

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