Manish Parashar
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Manish Parashar
Manish Parashar (born 21 January 1967) is a Computer Scientist and an Electrical Engineer. He is a Presidential Professor at the Kahlert School of Computing and director and chair of computational science and engineering at the Scientific Computing and Imaging Institute at the University of Utah. He is the Founding Chair of the IEEE Technical Community on High Performance Computing (TCHPC). He is an AAAS Fellow, ACM Fellow, and IEEE Fellow. He also served as Office Director in the US National Science Foundation'Office of Advanced Cyberinfrastructurefrom 2018 to 2023. Parashar currently leads the One-Utah Responsible Artificial Intelligence Initiative, which aims to realize a transdisciplinary ecosystem that fosters AI innovation to address scientific and societal grand challenges. He is the Faculty Co-Director of the Data Science & Ethics of Technology Initiative (DATASET) anOne-Utah Data Science Hubat the University of Utah. As a leader in cyberinfrastructure research and poli ...
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Scientific Computing And Imaging Institute
The Scientific Computing and Imaging (SCI) Institute is a permanent research institute at the University of Utah that focuses on the development of new scientific computing and visualization techniques, tools, and systems with primary applications to biomedical engineering. The SCI Institute is noted worldwide in the visualization community for contributions by faculty, alumni, and staff. Faculty are associated primarily with the School of Computing, Department of Bioengineering, Department of Mathematics, and Department of Electrical and Computer Engineering, with auxiliary faculty in the Medical School and School of Architecture. History The Scientific Computing and Imaging Institute started in 1992 as a research group in the University of Utah School of Computing by Chris Johnson and Rob MacLeod. In 1994 this group became the Center for Scientific Computing and Imaging, and in 2000 the name was changed to the Scientific Computing and Imaging (SCI) Institute. In 2007, the ...
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Computational Science
Computational science, also known as scientific computing, technical computing or scientific computation (SC), is a division of science, and more specifically the Computer Sciences, which uses advanced computing capabilities to understand and solve complex physical problems. While this typically extends into computational specializations, this field of study includes: * Algorithms ( numerical and non-numerical): mathematical models, computational models, and computer simulations developed to solve sciences (e.g, physical, biological, and social), engineering, and humanities problems * Computer hardware that develops and optimizes the advanced system hardware, firmware, networking, and data management components needed to solve computationally demanding problems * The computing infrastructure that supports both the science and engineering problem solving and the developmental computer and information science In practical use, it is typically the application of compu ...
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Computing
Computing is any goal-oriented activity requiring, benefiting from, or creating computer, computing machinery. It includes the study and experimentation of algorithmic processes, and the development of both computer hardware, hardware and software. Computing has scientific, engineering, mathematical, technological, and social aspects. Major computing disciplines include computer engineering, computer science, cybersecurity, data science, information systems, information technology, and software engineering. The term ''computing'' is also synonymous with counting and calculation, calculating. In earlier times, it was used in reference to the action performed by Mechanical computer, mechanical computing machines, and before that, to Computer (occupation), human computers. History The history of computing is longer than the history of computing hardware and includes the history of methods intended for pen and paper (or for chalk and slate) with or without the aid of tables. ...
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Conceptual Model
The term conceptual model refers to any model that is formed after a wikt:concept#Noun, conceptualization or generalization process. Conceptual models are often abstractions of things in the real world, whether physical or social. Semantics, Semantic studies are relevant to various stages of process of concept formation, concept formation. Semantics is fundamentally a study of concepts, the meaning that thinking beings give to various elements of their experience. Overview Concept models and conceptual models The value of a conceptual model is usually directly proportional to how well it corresponds to a past, present, future, actual or potential state of affairs. A concept model (a model of a concept) is quite different because in order to be a good model it need not have this real world correspondence. In artificial intelligence, conceptual models and conceptual graphs are used for building expert systems and knowledge-based systems; here the analysts are concerned to repres ...
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Distributed Computing
Distributed computing is a field of computer science that studies distributed systems, defined as computer systems whose inter-communicating components are located on different networked computers. The components of a distributed system communicate and coordinate their actions by passing messages to one another in order to achieve a common goal. Three significant challenges of distributed systems are: maintaining concurrency of components, overcoming the lack of a global clock, and managing the independent failure of components. When a component of one system fails, the entire system does not fail. Examples of distributed systems vary from SOA-based systems to microservices to massively multiplayer online games to peer-to-peer applications. Distributed systems cost significantly more than monolithic architectures, primarily due to increased needs for additional hardware, servers, gateways, firewalls, new subnets, proxies, and so on. Also, distributed systems are prone to ...
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Parallel Computing
Parallel computing is a type of computing, computation in which many calculations or Process (computing), processes are carried out simultaneously. Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: Bit-level parallelism, bit-level, Instruction-level parallelism, instruction-level, Data parallelism, data, and task parallelism. Parallelism has long been employed in high-performance computing, but has gained broader interest due to the physical constraints preventing frequency scaling.S.V. Adve ''et al.'' (November 2008)"Parallel Computing Research at Illinois: The UPCRC Agenda" (PDF). Parallel@Illinois, University of Illinois at Urbana-Champaign. "The main techniques for these performance benefits—increased clock frequency and smarter but increasingly complex architectures—are now hitting the so-called power wall. The computer industry has accepted that future performance inc ...
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Algorithm
In mathematics and computer science, an algorithm () is a finite sequence of Rigour#Mathematics, mathematically rigorous instructions, typically used to solve a class of specific Computational problem, problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use Conditional (computer programming), conditionals to divert the code execution through various routes (referred to as automated decision-making) and deduce valid inferences (referred to as automated reasoning). In contrast, a Heuristic (computer science), heuristic is an approach to solving problems without well-defined correct or optimal results.David A. Grossman, Ophir Frieder, ''Information Retrieval: Algorithms and Heuristics'', 2nd edition, 2004, For example, although social media recommender systems are commonly called "algorithms", they actually rely on heuristics as there is no truly "correct" recommendation. As an e ...
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Data Structure
In computer science, a data structure is a data organization and storage format that is usually chosen for Efficiency, efficient Data access, access to data. More precisely, a data structure is a collection of data values, the relationships among them, and the Function (computer programming), functions or Operator (computer programming), operations that can be applied to the data, i.e., it is an algebraic structure about data. Usage Data structures serve as the basis for abstract data types (ADT). The ADT defines the logical form of the data type. The data structure implements the physical form of the data type. Different types of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks. For example, Relational database, relational databases commonly use B-tree indexes for data retrieval, while compiler Implementation, implementations usually use hash tables to look up Identifier (computer languages), identifiers. Data s ...
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Cyberinfrastructure
United States federal government agencies use the term cyberinfrastructure to describe research environments that support advanced data acquisition, data storage, data management, data integration, data mining, data visualization and other computing and information processing services distributed over the Internet beyond the scope of a single institution. In scientific usage, cyberinfrastructure is a technological and sociological solution to the problem of efficiently connecting federal laboratories, large scales of data, processing power, and scientists with the goal of enabling novel scientific discoveries and advancements in human knowledge. Origin The term National Information Infrastructure had been popularized by Al Gore in the 1990s. This use of the term "cyberinfrastructure" evolved from the same thinking that produced Presidential Decision Directive NSC-63 on Protecting America's Critical Infrastructures (PDD-63). PDD-63 focuses on the security and vulnerability of the ...
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Intergovernmental Personnel Act
The Intergovernmental Personnel Act of 1970 is a U.S. law specifying conditions for assigning workers to temporary duties across governmental boundaries, to or from the U.S. federal government and other governments and quasi-governmental organizations. The implementation of the law on federal side is overseen by the Office of Personnel Management The United States Office of Personnel Management (OPM) is an independent agency of the United States government that manages the United States federal civil service. The agency provides federal human resources policy, oversight, and support, a ..., through the Intergovernmental Personnel Act Mobility Program. It "provides for the temporary assignment of personnel between the Federal Government and state and local governments, colleges and universities, Indian tribal governments, federally funded research and development centers, and other eligible organizations". The Intergovernmental Personnel Act was modified as the Revised Inter ...
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COVID-19 Pandemic
The COVID-19 pandemic (also known as the coronavirus pandemic and COVID pandemic), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), began with an disease outbreak, outbreak of COVID-19 in Wuhan, China, in December 2019. Soon after, it spread to other areas of Asia, and COVID-19 pandemic by country and territory, then worldwide in early 2020. The World Health Organization (WHO) declared the outbreak a public health emergency of international concern (PHEIC) on 30 January 2020, and assessed the outbreak as having become a pandemic on 11 March. COVID-19 symptoms range from asymptomatic to deadly, but most commonly include fever, sore throat, nocturnal cough, and fatigue. Transmission of COVID-19, Transmission of the virus is often airborne transmission, through airborne particles. Mutations have variants of SARS-CoV-2, produced many strains (variants) with varying degrees of infectivity and virulence. COVID-19 vaccines were developed rapidly and deplo ...
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Office Of Science And Technology Policy
The Office of Science and Technology Policy (OSTP) is a department of the United States government, part of the Executive Office of the President of the United States, Executive Office of the President (EOP), established by United States Congress on May 11, 1976, with a broad mandate to advise the President of the United States, president on the effects of Science and technology in the United States, science and technology on domestic and international affairs. The director of this office is traditionally colloquially known as the Science Advisor to the President, science advisor to the president. A recent appointed director was mathematician and geneticist Eric Lander who was sworn in on June 2, 2021. Lander resigned February 18, 2022, following allegations of misconduct. On February 16, 2022, the Biden administration announced that deputy director Alondra Nelson would serve as acting director and former National Institutes of Health (NIH) director Francis Collins would serve a ...
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