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Ben Shaw 0001

dblp:50/7903-1 · also Benjamin G. Shaw 0001 · DBLP profile ↗
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5ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 1 since 2021Artificial intelligence and machine learning · 1Software engineering, systems software and programming languages · 1Human-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Emerging computing paradigms · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Emerging computing paradigms › neuromorphic computing
brain-inspired computing
0.212016
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications · SC 2016
Emerging computing paradigms
neuromorphic computing
0.212016
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications · SC 2016
Emerging computing paradigms
neuromorphic hardware
0.212016
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications · SC 2016

Methods — techniques the papers use, named apart from their topics

software ecosystem · 0.2scalable systems · 0.2
YearPublicationVenuePosition
2023 IBM NorthPole Neural Inference Machine
Dharmendra S. Modha, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Michael DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw 0001, Jay Sivagnaname, Daniel F. Smith, Ignacio G. Terrizzano, Takanori Ueda
HCS28
2016 Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications
abstract
Abstract not provided
Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Brian Taba, Michael DeBole, Pallab Datta, Rodrigo Alvarez-Icaza, Arnon Amir, John V. Arthur, Alexander Andreopoulos, Rathinakumar Appuswamy, Heinz Baier, Davis Barch, David J. Berg, Carmelo di Nolfo, Steven K. Esser, Myron Flickner, Thomas A. Horvath, Bryan L. Jackson, Jeffrey A. Kusnitz, Scott Lekuch, Michael Mastro, Timothy Melano, Paul Merolla, Steven E. Millman, Tapan K. Nayak, Norm Pass, Hartmut Penner, William P. Risk, Kai Schleupen, Ben Shaw 0001, Hayley Wu, Brian Giera, Adam Moody, T. Nathan Mundhenk, Brian Van Essen, Eric X. Wang, David P. Widemann, William E. Murphy, Jamie K. Infantolino, James A. Ross, Dale R. Shires, Manuel M. Vindiola, Raju Namburu, Dharmendra S. Modha
SC31
2013 Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores
abstract
Marching along the DARPA SyNAPSE roadmap, IBM unveils a trilogy of innovations towards the TrueNorth cognitive computing system inspired by the brain's function and efficiency. The sequential programming paradigm of the von Neumann architecture is wholly unsuited for TrueNorth. Therefore, as our main contribution, we develop a new programming paradigm that permits construction of complex cognitive algorithms and applications while being efficient for TrueNorth and effective for programmer productivity. The programming paradigm consists of (a) an abstraction for a TrueNorth program, named Corelet, for representing a network of neurosynaptic cores that encapsulates all details except external inputs and outputs; (b) an object-oriented Corelet Language for creating, composing, and decomposing corelets; (c) a Corelet Library that acts as an ever-growing repository of reusable corelets from which programmers compose new corelets; and (d) an end-to-end Corelet Laboratory that is a programming environment which integrates with the TrueNorth architectural simulator, Compass, to support all aspects of the programming cycle from design, through development, debugging, and up to deployment. The new paradigm seamlessly scales from a handful of synapses and neurons to networks of neurosynaptic cores of progressively increasing size and complexity. The utility of the new programming paradigm is underscored by the fact that we have designed and implemented more than 100 algorithms as corelets for TrueNorth in a very short time span.
Arnon Amir, Pallab Datta, William P. Risk, Andrew S. Cassidy, Jeffrey A. Kusnitz, Steven K. Esser, Alexander Andreopoulos, Theodore M. Wong, Myron Flickner, Rodrigo Alvarez-Icaza, Emmett McQuinn, Ben Shaw 0001, Norm Pass, Dharmendra S. Modha
IJCNN12
2012 Identifying and Managing Variation Scope in Service Management
abstract
Delivering services cost-effectively benefits from economies of scale, not dissimilar to the production of goods. Customizing services to the specific needs of a customer - either the service interfaces or the delivery system - incurs additional costs of setting up the service delivery system to be able to fulfill a specific variant and the excess costs of operating this additional system. Service providers need to understand the trade-off between service standardization and customization. We propose a domain independent approach to identify the variation scope of existing instances and derive a normative model of admissible configurations.
Harald Psaier, Heiko Ludwig, Laura C. Anderson, Ben Shaw 0001
ICWS4
2009 A cognitive account of collective emergence in design
abstract
Design in many settings is an inherently collective and creative undertaking, with phenomena of emergence at the heart of the activity. Cognitive accounts of emergence in the context of design have not taken its collective nature into account. At the same time accounts of collective emergence do not recognize certain salient attributes of design, including the importance of visual thinking and various media for external representation. With reference to two distinct theories of emergence, Oxman's account of design emergence in terms of visual cognition, and Sawyer's account of collaborative emergence in conversation and performance, this paper reports results from a study of a high-performing, technologically mediated concurrent design practice. Participant observation, interviews, and video interaction analysis were used to render the creative process of engineering design in fine-grained detail. The resulting insights support aspects of both theories in that creative activity appears to proceed substantially through modalities of visual cognition, while collaborative products are arrived at through an essentially collective process involving multiple participants and unpredictable developments. The combined view presents a richer picture than either theory alone.
Ben Shaw 0001
Creativity & Cognition1