John Gustafson | Academic Influence

John Gustafson 's AcademicInfluence.com Rankings

John Gustafson

Business

#1050

World Rank

#1161

Historical Rank

#271

USA Rank

Accounting

#238

World Rank

#260

Historical Rank

#63

USA Rank

business Degrees

John Gustafson

Computer Science

#10769

World Rank

#11336

Historical Rank

#1882

USA Rank

Numerical Analysis

#54

World Rank

#57

Historical Rank

#18

USA Rank

Parallel Computing

#63

World Rank

#65

Historical Rank

#29

USA Rank

Computer Architecture

#74

World Rank

#76

Historical Rank

#30

USA Rank

computer-science Degrees

Download Badge

Business
Computer Science

John Gustafson 's Degrees

PhD Computer Science Stanford University

Similar Degrees You Can Earn

Best Online PhD of Computer Science (Doctorates) 2024

Why Is John Gustafson Influential?

(Suggest an Edit or Addition)

According to Wikipedia, John Leroy Gustafson is an American computer scientist and businessman, chiefly known for his work in high-performance computing such as the invention of Gustafson's law, introducing the first commercial computer cluster, measuring with QUIPS, leading the reconstruction of the Atanasoff–Berry computer, inventing the unum number format and computation system, and several awards for computer speedup. Currently he is the Chief Technology Officer at Ceranovo, Inc. He was the Chief Graphics Product Architect and Senior Fellow at AMD from September 2012 until June 2013, and he previously held the positions of Architect of Intel Labs-SC, CEO of Massively Parallel Technologies, Inc. and CTO at ClearSpeed Technology. Gustafson holds applied mathematics degrees from the California Institute of Technology and Iowa State University.

(See a Problem?)

John Gustafson 's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Reevaluating Amdahl's law (1988) (1592)
Development of Parallel Methods for a $1024$-Processor Hypercube (1988) (459)
Beating Floating Point at its Own Game: Posit Arithmetic (2017) (216)
Net-PIPE: Network Protocol Independent Performance Evaluator (1997) (175)
Toward a better parallel performance metric (1991) (159)
Little's Law (2011) (155)
The End of Error: Unum Computing (2015) (99)
Automated Empirical Optimization (2011) (84)
Fixed Time, Tiered Memory, and Superlinear Speedup (1990) (75)
HINT: A new way to measure computer performance (1995) (69)
Deep Positron: A Deep Neural Network Using the Posit Number System (2018) (61)
Asymptotic Expansion of the First Elliptic Integral (1985) (58)
Parameterized Posit Arithmetic Hardware Generator (2018) (55)
The Architecture of a Homogeneous Vector Supercomputer (1986) (49)
The Design of a Scalable, Fixed-Time Computer Benchmark (1991) (47)
The consequences of fixed time performance measurement (1992) (45)
Conventional Benchmarks as a Sample of the Performance Spectrum (1998) (45)
Asymptotic approximations for symmetric elliptic integrals (1993) (44)
A random number generator for parallel computers (1992) (40)
A low-cost hypercube load-balance algorithm (1989) (40)
Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks (2019) (37)
A Radical Approach to Computation with Real Numbers (2016) (37)
Measuring High Performance Computing Productivity (2004) (36)
Integrated on-chip energy storage using passivated nanoporous-silicon electrochemical capacitors (2016) (33)
Purpose-Based Benchmarks (2004) (23)
Introducing Replicated VLSI to Supercomputing: the FPS-164/MAX Scientific Computer (1986) (23)
Measuring HPC productivity (2004) (22)
Total Positivity of Mean Values and Hypergeometric Functions (1983) (21)
Asymptotic formulas for elliptic integrals (1982) (18)
Distribution-Independent Hierarchical Algorithms for the N-body Problem (1998) (18)
Amdahl's Law (2011) (15)
A radar simulation program for a 1024-processor hypercube (1989) (15)
PositNN Framework: Tapered Precision Deep Learning Inference for the Edge (2019) (14)
A Novel Approach to Generate Correctly Rounded Math Libraries for New Floating Point Representations (2020) (13)
Truly distribution-independent algorithms for the N-body problem (1994) (13)
Adaptive Posit: Parameter aware numerical format for deep learning inference on the edge (2020) (13)
Computational Verifiability and Feasibilitv J of the ASCI Program (1998) (12)
Graphics Processing Unit (2011) (12)
Reducing Memory Footprints in Explicit Model Predictive Control using Universal Numbers (2017) (11)
Next Generation Arithmetic for Edge Computing (2020) (11)
The program of grand challenge problems: expectations and results (1997) (10)
Performance Visualization of SLALOM (1991) (10)
The Quest for Linear Equation Solvers and the Invention of Electronic Digital Computing (2006) (8)
Programming and performance on a cube-connected architecture (1988) (7)
Parallel hierarchical global illumination (1997) (6)
Reconstruction of the Atanasoff-Berry computer (2000) (6)
Brent's Theorem (2011) (6)
The Scaled-Sized Model: A Revision of Amdahl’s Law (2004) (6)
An approach to generate correctly rounded math libraries for new floating point variants (2021) (6)
Brightening the Optical Flow through Posit Arithmetic (2021) (6)
Teraflops and other false goals (1994) (5)
Posit Arithmetic for the Training and Deployment of Generative Adversarial Networks (2021) (5)
An Analytical Model of the HINT Performance Metric (1996) (5)
Alps: Adaptive Quantization of Deep Neural Networks with GeneraLized PositS (2021) (5)
Integrated on-chip energy storage using porous-silicon electrochemical capacitors (2014) (5)
A Threshold Test for Dynamic Load Balancers (1991) (5)
SIZEUP: A New Parallel Performance Metric (1991) (5)
A structural analysis algorithm for massively parallel computers (1989) (4)
Signal-Processing Algorithms on Parallel Architectures: A Performance Update (1991) (4)
Gustafson's Law (2011) (4)
The end of numerical error (2015) (4)
On the role of parallel architecture supercomputers in time-dependent approaches to quantum scattering (1991) (4)
Massively Parallel Searching for Better Algorithms or How to Do a Cross Product with Five Multiplications (1996) (3)
A Framework for Embedded Model Predictive Control using Posits (2020) (3)
Subtle Issues of SIMD Tree Search (1993) (3)
Modelling polarized light for computer graphics (1997) (3)
A Memory-Efficient Explicit Model Predictive Control using Posits (2019) (2)
Commentary - The "Tar Baby" of Computing: Performance Analysis (1993) (2)
A Memory Efficient FPGA Implementation of Offset-Free Explicit Model Predictive Controller (2022) (2)
Bulk Synchronous Parallelism (BSP) (2011) (2)
Moore's Law (2011) (2)
A massively parallel optimizer for expression evaluation (1993) (2)
Latency Hiding (2011) (2)
Subdivision of PDE's on FPS scientific computers (1986) (2)
Making Strassen Matrix Multiplication Safe (2018) (2)
Programming the FPS T Series (1)
Application signature: a new way to predict application performance (2003) (1)
When "Grain Size" Doesn't Matter (1991) (1)
PositNN: Tapered Precision Deep Learning Inference for the Edge (2018) (1)
Making Computer Design a Science Instead of an Art (1998) (1)
The twin bottleneck effects (parallel algorithms) (1993) (1)
The Twin Bottleneck Effect (1993) (1)
Massively parallel computing system (1989) (1)
Electrochemical Capacitors Fabricated Using Porous Silicon (2014) (1)
Proceedings of the First International Workshop on Post Moore ' s Era Supercomputing (2016) (1)
Massively parallel searching for better algorithms (1992) (1)
A Comparison of wide area network performance using virtualized and non-virtualized client architectures (2013) (0)
Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning (2022) (0)
Next-generation arithmetic: major performance gains with minimal disruption (2019) (0)
Author: LAI Ka Sin (2015) (0)
A Radar Simulation Program for a 1024 Node Hypercube (1989) (0)
Effects of Breakfast on Lateralized Brain Function in Short Term Verbal and Visuo-Spatial Memory (2006) (0)
The speed of light isn't what it used to be [computer design] (2004) (0)
Challenges and Future Directions of Software Technology: The Need for Explicit Programming Environments (2010) (0)
Loop Tiling (2011) (0)
Automated Performance Tuning (2011) (0)
“ i 86 OTM Microprocessor Performance Brief (2017) (0)
Acceleration technologies: understanding the differences and assessing what's right for you (2006) (0)
Scalable Computer Performance and Analysis (Hierarchical INTegration) (1999) (0)
educing e ory Footprints in Explicit odel redictive ontrol using niversal u bers (2018) (0)
PositIV:A Configurable Posit Processor Architecture for Image and Video Processing (2022) (0)
Porous Silicon Electrochemical Capacitors Using Double Sided Porous Silicon and ALD Coatings (2016) (0)
Lighting with high efficiency (2011) (0)
MIMD Lattice Computation (2011) (0)
Evaluation of file access patterns using realistic I/O workloads for a cluster environment (2000) (0)
INCREASING HYPERCUBE COMMUNICATIONS ON LOW-DIMENSIONAL PROBLEMS (2003) (0)
Ab Initio Molecular Dynamics (2011) (0)
HINT: A new way to measure computer speed (1995) (0)
The energy storage device, the same method of manufacturing and mobile electronics apparatus, same comprising (2012) (0)
When %rain Size" Doesn't Matter (1991) (0)
The Mainstreaming of Interval Arithmetic (2001) (0)
Improving the Precision of SORN Arithmetic by Introducing Fused Operations (2022) (0)
A new paradigm for computer users (1995) (0)

This paper list is powered by the following services:

Other Resources About John Gustafson

What Schools Are Affiliated With John Gustafson ?

John Gustafson is affiliated with the following schools:

Image Attributions

Image Source for John Gustafson