Michela Taufer | |
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Born | 23 April 1971 |
Nationality | American |
Alma mater | ETH Zurich (Swiss Federal Institute of Technology in Zürich) |
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Website | https://globalcomputing.group/about.html |
Michela Taufer (born 23 April 1971) [9] is an Italian-American computer scientist and holds the Jack Dongarra Professorship in High Performance Computing within the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. [10] She is an ACM Distinguished Scientist [7] and an IEEE Senior Member. [1] In 2021, together with a team al Lawrence Livermore National Laboratory, she earned a R&D 100 Award for the Flux workload management software framework in the Software/Services category.
Taufer attended the University of Padua where she obtained a Laurea in Computer Engineering in 1996. She later went on to earn her Ph.D. in computer science at ETH Zurich (Swiss Federal Institute of Technology in Zürich) in 2002. [9] The dissertation for her Ph.D. in computer science from ETH Zurich (Swiss Federal Institute of Technology in Zürich) was titled, Inverting Middleware: Performance Analysis of Layered Application Codes in High Performance Distributed Computing, and was supervised by Thomas M. Stricker and Daniel A. Reed. [9]
Her current research interests [11] include high performance computing, [12] scientific applications, and their programmability on multi-core and many-core platforms. [13] She applies advances in computational and algorithmic solutions for high-performance computing technologies (i.e., volunteer computing, accelerators and GPUs, and in situ analytics workflows) [14] to multi-disciplinary fields including molecular dynamics, [15] ecoinformatics, seismology, and biology.
In system administration, orchestration is the automated configuration, coordination, deployment, development, and management of computer systems and software.
General-purpose computing on graphics processing units is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU). The use of multiple video cards in one computer, or large numbers of graphics chips, further parallelizes the already parallel nature of graphics processing.
Barbara Liskov is an American computer scientist who has made pioneering contributions to programming languages and distributed computing. Her notable work includes the introduction of abstract data types and the accompanying principle of data abstraction, along with the Liskov substitution principle, which applies these ideas to object-oriented programming, subtyping, and inheritance. Her work was recognized with the 2008 Turing Award, the highest distinction in computer science.
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The International Parallel and Distributed Processing Symposium is an annual conference for engineers and scientists to present recent findings in the fields of parallel processing and distributed computing. In addition to technical sessions of submitted paper presentations, the meeting offers workshops, tutorials, and commercial presentations & exhibits. IPDPS is sponsored by the IEEE Computer Society's Technical Committee on Parallel Processing.
Within cluster and parallel computing, a cluster manager is usually backend graphical user interface (GUI) or command-line interface (CLI) software that runs on a set of cluster nodes that it manages. The cluster manager works together with a cluster management agent. These agents run on each node of the cluster to manage and configure services, a set of services, or to manage and configure the complete cluster server itself In some cases the cluster manager is mostly used to dispatch work for the cluster to perform. In this last case a subset of the cluster manager can be a remote desktop application that is used not for configuration but just to send work and get back work results from a cluster. In other cases the cluster is more related to availability and load balancing than to computational or specific service clusters.
Dr. Subhash Saini is a senior computer scientist at NASA. He is a member of the Ames Research and Technology Council.
rCUDA, which stands for Remote CUDA, is a type of middleware software framework for remote GPU virtualization. Fully compatible with the CUDA application programming interface (API), it allows the allocation of one or more CUDA-enabled GPUs to a single application. Each GPU can be part of a cluster or running inside of a virtual machine. The approach is aimed at improving performance in GPU clusters that are lacking full utilization. GPU virtualization reduces the number of GPUs needed in a cluster, and in turn, leads to a lower cost configuration – less energy, acquisition, and maintenance.
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Margaret Martonosi is an American computer scientist who is currently the Hugh Trumbull Adams '35 Professor of Computer Science at Princeton University. Martonosi is noted for her research in computer architecture and mobile computing with a particular focus on power-efficiency.
Ümit V. Çatalyürek is a professor of computer science at the Georgia Institute of Technology, and adjunct professor in department of Biomedical Informatics at the Ohio State University. He is known for his work on graph analytics, parallel algorithms for scientific applications, data-intensive computing, and large scale genomic and biomedical applications. He was the director of the High Performance Computing Lab at the Ohio State University. He was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2016 for contributions to combinatorial scientific computing and parallel computing.
In the high-performance computing environment, burst buffer is a fast intermediate storage layer positioned between the front-end computing processes and the back-end storage systems. It bridges the performance gap between the processing speed of the compute nodes and the Input/output (I/O) bandwidth of the storage systems. Burst buffers are often built from arrays of high-performance storage devices, such as NVRAM and SSD. It typically offers from one to two orders of magnitude higher I/O bandwidth than the back-end storage systems.
ACM SIGARCH is the Association for Computing Machinery's Special Interest Group on computer architecture, a community of computer professionals and students from academia and industry involved in research and professional practice related to computer architecture and design. The organization sponsors many prestigious international conferences in this area, including the International Symposium on Computer Architecture (ISCA), recognized as the top conference in this area since 1975. Together with IEEE Computer Society's Technical Committee on Computer Architecture (TCCA), it is one of the two main professional organizations for people working in computer architecture.
ACM SIGHPC is the Association for Computing Machinery's Special Interest Group on High Performance Computing, an international community of students, faculty, researchers, and practitioners working on research and in professional practice related to supercomputing, high-end computers, and cluster computing. The organization co-sponsors international conferences related to high performance and scientific computing, including: SC, the International Conference for High Performance Computing, Networking, Storage and Analysis; the Platform for Advanced Scientific Computing (PASC) Conference; Practice and Experience in Advanced Research Computing (PEARC); and PPoPP, the Symposium on Principles and Practice of Parallel Programming.
Richard Vuduc is a tenured professor of computer science at the Georgia Institute of Technology. His research lab, The HPC Garage, studies high-performance computing, scientific computing, parallel algorithms, modeling, and engineering. He is a member of the Association for Computing Machinery (ACM). As of 2022, Vuduc serves as Vice President of the SIAM Activity Group on Supercomputing. He has co-authored over 200 articles in peer-reviewed journals and conferences.
In 1989, the International Parallel and Distributed Processing Symposium established the Charles Babbage Award to be given each year to a conference participant in recognition of exceptional contributions to the field. In almost all cases, the award is given to one of the invited keynote speakers at the conference. The selection was made by the steering committee chairs, upon recommendation from the Program Chair and General Chair who have been responsible for the technical program of the conference, including inviting the speakers. It is presented immediately following the selected speaker's presentation at the conference, and he or she is given a plaque that specifies the nature of their special contribution to the field that is being recognized by IPDPS.
Torsten Hoefler is a Professor of Computer Science at ETH Zurich and the Chief Architect for Machine Learning at the Swiss National Supercomputing Centre. Previously, he led the Advanced Application and User Support team at the Blue Waters Directorate of the National Center for Supercomputing Applications, and held an adjunct professor position at the Computer Science Department at the University of Illinois at Urbana Champaign. His expertise lies in large-scale parallel computing and high-performance computing systems. He focuses on applications in large-scale artificial intelligence as well as climate sciences.