A5085787384- Historical and Religious Studies of Rome
- Historical Influence and Diplomacy
- Reformation and Early Modern Christianity
- Byzantine Studies and History
- Renaissance and Early Modern Studies
- Musicology and Musical Analysis
- Parallel Computing and Optimization Techniques
- Biblical Studies and Interpretation
- Advanced Data Storage Technologies
- Social and Economic Development in India
- American Constitutional Law and Politics
- Interconnection Networks and Systems
- Historical and Linguistic Studies
- Christian Theology and Mission
- Archaeology and Historical Studies
- Medieval Literature and History
- Religion, Society, and Development
- Historical Art and Architecture Studies
- Photonic and Optical Devices
- Architecture and Art History Studies
- Historical and Architectural Studies
- Optical Network Technologies
- Migration and Labor Dynamics
- Religious and Theological Studies
- Politics and Conflicts in Afghanistan, Pakistan, and Middle East
Eastern New Mexico University
2023-2025
Spitalzentrum Centre hospitalier Biel- Bienne
2024
Google (United States)
2020-2023
Amrita Institute of Medical Sciences and Research Centre
2022
Florida Agricultural and Mechanical University
2017-2022
The University of Texas at Arlington
2013-2017
Massachusetts Institute of Technology
2010-2016
University of Calgary
1973-2016
Intel (United States)
2014
Central Council for Research in Yoga & Naturopathy
1989-1990
Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome many of weaknesses conventional phrase-based translation systems. Unfortunately, NMT systems are known be computationally expensive both in training and inference. Also, most have difficulty rare words. These issues hindered NMT's use practical deployments services, where accuracy speed essential. In this work, we present GNMT, Google's system, which attempts address...
With the rise of many-core chips that require substantial bandwidth from network on chip (NoC), integrated photonic links have been investigated as a promising alternative to traditional electrical interconnects. While numerous opto-electronic NoCs proposed, evaluations architectures thus-far had use number simplifications, reflecting need for modeling tool accurately captures tradeoffs emerging technology and its impacts overall network. In this paper, we present DSENT, NoC rapid design...
This paper introduces the Graphite open-source distributed parallel multicore simulator infrastructure. is designed from ground up for exploration of future multi-core processors containing dozens, hundreds, or even thousands cores. It provides high performance fast design space and software development. Several techniques are used to achieve this including: direct execution, seamless multi-machine distribution, lax synchronization. capable accelerating simulations by distributing them...
Google deployed several TPU generations since 2015, teaching us lessons that changed our views: semi-conductor technology advances unequally; compiler compatibility trumps binary compatibility, especially for VLIW domain-specific architectures (DSA); target total cost of ownership vs initial cost; support multi-tenancy; deep neural networks (DNN) grow 1.5X annually; DNN evolve workloads; some inference tasks require floating point; DSAs need air-cooling; apps limit latency, not batch size;...
Google's TPU supercomputers train deep neural networks 50x faster than general-purpose running a high-performance computing benchmark.
In response to innovations in machine learning (ML) models, production workloads changed radically and rapidly. TPU v4 is the fifth Google domain specific architecture (DSA) its third supercomputer for such ML models. Optical circuit switches (OCSes) dynamically reconfigure interconnect topology improve scale, availability, utilization, modularity, deployment, security, power, performance; users can pick a twisted 3D torus if desired. Much cheaper, lower faster than Infiniband, OCSes...
Based on current trends, multicore processors will have 1000 cores or more within the next decade. However, their promise of increased performance only be realized if inherent scaling and programming challenges are overcome. Fortunately, recent advances in nanophotonic device manufacturing making CMOS-integrated optics a reality-interconnect technology which can provide significantly bandwidth at lower power than conventional electrical signaling. Optical interconnect has potential to enable...
Five years ago, few would have predicted that a software company like Google build its own computers. Nevertheless, has been deploying computers for machine learning (ML) training since 2017, powering key services. These Tensor Processing Units (TPUs) are composed of chips, systems, and software, all co-designed in-house. In this paper, we detail the circumstances led to outcome, challenges opportunities observed, approach taken quick review performance, finally retrospective on results. A...
Addressing the challenges of extreme scale computing requires holistic design new programming models and systems that support those models. This paper discusses Angstrom processor, which is designed to a Self-aware Computing (SEEC) model. In SEEC, applications explicitly state goals, while other components provide actions SEEC runtime system can use meet goals. supports this model by exposing sensors adaptations traditionally would be managed independently hardware. exposure allows...
The cloud computing landscape is rapidly expanding and growing in complexity. It has witnessed the emergence of Cloud Computing as a widely adopted model for efficiently processing large volumes data by harnessing clusters commodity computers. This evolution enables handling massive through on-demand services, relying on numerous microservices with diverse dependencies. technology containers ensures secure storage, allowing large-scale high scalability portability. Container technology,...
Praise for the previous editions--Outstanding Reference Source of 1978--RASD/ALA.alth information. . Access and reference value are exceptionally good.. Content is impressive in its variety depth. This revision what has come to be recognized as a standard work welcome.--Booklist (2/83). l26 maps. l,000+ charts. Appendices. Index. Three volumes.
This study aims to investigate the factors influencing Human Development Index (HDI). Five variables-GDP per capita, health expenditure, education infant mortality rate (per 1,000 live births), and average years of schooling-were analyzed develop a regression model assessing their impact on HDI. The results indicate that GDP rate, schooling are significant predictors Specifically, finds positive relationship between capita with HDI, while is negatively associated
The Dead Internet Theory (DIT) suggests that much of today's internet, particularly social media, is dominated by non-human activity, AI-generated content, and corporate agendas, leading to a decline in authentic human interaction. This study explores the origins, core claims, implications DIT, emphasizing its relevance context media platforms. theory emerged as response perceived homogenization online spaces, highlighting issues like proliferation bots, algorithmically generated...
During the last decade, scholars have studied behavior of decision-making in newsvendor settings and identified numerous patterns for deviating from normative behavior. However, there is a dearth research which examined influence individual heterogeneity on settings. This study examines level construal (Abstract concrete) using theory (CLT) performance games. In addition, this measures cognitive reflection individuals test (CRT) ex-ante to analyze true impact how people construe problem its...
Large-scale Ads recommendation and auction scoring models at Google scale demand immense computational resources. While specialized hardware like TPUs have improved linear algebra computations, bottlenecks persist in large-scale systems. This paper proposes solutions for three critical challenges that must be addressed efficient end-to-end execution a widely used production infrastructure: (1) Input Generation Ingestion Pipeline: Efficiently transforming raw features (e.g., "search query")...
There is a growing agreement that electronic health record (EHR) can play key role in improving healthcare quality and efficiency. Despite the benefits associated with use of EHR, adoption EHR low United States. The main aim this study to identify critical factors affecting hospitals’ EHR. This identifies seven are by using technology, organization, environment (TOE) framework. Moreover, we propose research framework provides future opportunities offer further insights into