Center for High End Computing Systems
| High-end computing refers to high capability and high capacity computing, communication and storage resources. The focus at Virginia Tech is on high-end computing systems research, broadly defined. Progress in this area enhances our ability to solve large-scale problems from a myriad of application areas. Participants combine expertise in many traditional areas of computer science, from architecture to compilers and from operating systems to applications software. |
The mission of the Center for High-End Computing Systems (CHECS) is world-class computer systems research, with a particular focus on high-end computing systems. CHECS members investigate a broad array of problems and design a wide range of technologies---all with the goal of developing the next generation of powerful and usable high-end computing resources. Established in September 2005, and supported by Virginia Tech's College of Engineering, CHECS collaborates extensively with computational scientists and engineers from a wide variety of departments at Virginia Tech.
The focus of CHECS is on computer science systems research. Center members recognize that high-end resources must be powerful in a broad sense (i.e., high-performance, high-capacity, high-throughput, high-reliability, etc.); at the same time they must be more usable and affordable than current HPC systems. Toward that end, the Center is pursuing a broad research agenda in areas such as processor and memory architectures, operating systems, run-time systems, communication subsystems, fault-tolerance, scheduling and load-balancing, power-aware systems and algorithms, numerical algorithms and programming models and software tools. The goal is to build computing systems and environments that can efficiently and usably span the scales from department-sized machines to national-scale resources. Our approach is forward-looking, practical and collaborative. The strategy is to harness trends in computing technology and market forces to build real systems that will meet the day-to-day needs of computational scientists. Our work on computing environments is based on real job mixes, made up of real codes, incorporating feedback from real HPC users. With the lessons learned from developing proven, well-tested systems, the Center will lead the design and deployment of the next generation of high-end systems. The Center works closely with collaborators from across the College of Engineering as well as from other colleges. It supplies computing cycles, algorithmic expertise, training, consulting, partnerships in pursuing funding, opportunities for students to work in interdisciplinary teams, and an opportunity for the VT computational science and HPC community to share best-practices. In turn, collaborators motivate and inform CHECS research, and supply all-important application suites on which to test newly developed systems.
Godmar Back
Associate Professor
| Office: | 2211 KWII |
|---|---|
| Email: | gback@cs.vt.edu |
| Phone: | (540) 231-3046 |
| Website: | http://people.cs.vt.edu/~gback/ |
| Office Hours: | by appointment |
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Ali R Butt
Associate Professor
College of Engineering Faculty Fellow
| Office: | 2207 KWII |
|---|---|
| Email: | butta@cs.vt.edu |
| Phone: | (540) 231-0489 |
| Website: | http://people.cs.vt.edu/butta/ |
| Office Hours: | By appointment |
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Kirk W. Cameron
Professor
| Office: | 2212 KWII |
|---|---|
| Email: | cameron@vt.edu |
| Phone: | (540) 231-4238 |
| Website: | http://scape.cs.vt.edu/ |
| Office Hours: | McBryde 122-A: TR: 10:00 to 11:00 a.m. |
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Calvin J. Ribbens
Professor and Associate Department Head for Undergraduate Studies
| Office: | 1108 KWII |
|---|---|
| Email: | ribbens@vt.edu |
| Phone: | (540) 231-6262 |
| Website: | http://people.cs.vt.edu/~ribbens/ |
| Office Hours: | TR 2:00-3:30, McBryde 114, or by appointment |
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Barbara Ryder
J. Byron Maupin Professor and Department Head
| Office: | KWII 1107 |
|---|---|
| Email: | ryder@vt.edu |
| Phone: | (540)231-8452 |
| Website: | http://people.cs.vt.edu/~ryder |
| Office Hours: | By appointment |
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Adrian Sandu
Professor
| Office: | 2204 KW-II |
|---|---|
| Email: | asandu7@vt.edu |
| Phone: | 231-2193 |
| Website: | http://www.cs.vt.edu/~asandu |
| Office Hours: | McBryde 122-A: Thursday 12:45 - 1:45 pm |
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Eli Tilevich
Associate Professor
| Office: | 2213 KWII |
|---|---|
| Email: | tilevich@cs.vt.edu |
| Phone: | (540) 231-3475 |
| Website: | http://people.cs.vt.edu/~tilevich |
| Office Hours: | By Appointment |
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Layne T. Watson
Professor, Computer Science, Mathematics, and Aerospace and Ocean Engineering
| Office: | 2000B Torgersen |
|---|---|
| Email: | ltw@vt.edu |
| Phone: | (540) 231-7540 |
| Website: | http://people.cs.vt.edu/~ltw/shortvita.html |
| Office Hours: | McBryde 122-A: MWF: 10:00 to 11:00 am |
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Danfeng (Daphne) Yao
Assistant Professor
| Office: | 2222 KWII |
|---|---|
| Email: | danfeng@cs.vt.edu |
| Phone: | (540)231-7787 |
| Website: | http://people.cs.vt.edu/~danfeng |
| Office Hours: | W: 1:45 - 3:45, 122-B McBryde |
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HokieSpeed
Contact: Wu Feng
HokieSpeed is a 209 node cpu/gpu cluster housed in Virginia Tech's Advanced Research Computing (ARC) facility. The team that designed and deployed HokieSpeed was led by Dr. Wu Feng of the Department of Computer Science. Each system node contains two 2.40-gigahertz Intel Xeon E5645 6-core CPUs, and two NVIDIA 2050 448-core GPUs, for a total of more than 2,500 CPU cores and more than 185,000 GPU cores. The system has an aggregate 4992 GB of memory and is interconnected with quad data rate (QDR) InfiniBand. It made its debut in November 2011 as the 11th ranked system on the Green500 list.
System G
Contact: Kirk Cameron
The System G cluster consists of 324 Mac Pros, each with two 4-core 2.8 GHz Intel Xeon processors (for a total of 2592 processor cores) and eight GB of RAM. The system was the first supercomputer running over quad data rate (QDR) InfiniBand (40Gbs) interconnect technology. System G (for "green") also has unique power-aware capabilities, with thousands of power and thermal sensors allowing researchers to design and develop algorithms and systems software that achieve high-performance with modest power requirements, and to test such systems at unprecedented scale. With a sustained (Linpack) performance of 22.8 TFlops, System G is the largest power-aware research system and one of the world's largest clusters dedicated to computer science systems research.
A Framework For Adversarial Social Networks
Granting Institution: Defense Threat Reducation Agency
Amount: $450,000
CAREER: A Scalable Hierarchical Framework for High Performance Data Storage
Granting Institution: National Science Foundation
Amount: $400,000
CAREER: A Unified Framework For Multilevel Parallelization On Deep Computing Systems
Granting Institution: National Science Foundation
Amount: $228,600
CAREER: High- Performance, Power-Aware, Distributed Computing
Granting Institution: National Science Foundation
Amount: $231,012
Center For High-Performance Reconfigurable Computing (Chrec)
Granting Institution: National Science Foundation
Amount: $50,000
CiC (RDDC): Commoditizing Data-Intensive Biocomputing in the Cloud
Granting Institution: National Science Foundation
Amount: $370,000
CRI: Miser: A High Performance Power Aware Cluster
Granting Institution: National Science Foundation
Amount: $453,911
Déjà Vu: Transparent Checkpointing And Migration Of Parallel Codes Over Grid Infrastructures
Granting Institution: National Science Foundation
Amount: $715,000
High-Performance, Power-Aware Computing Workshop
Granting Institution: National Science Foundation
Amount: $5,000
Mathematical Software for Optimization And Nonlinear Systems Of Equations On Terascale Computers
Granting Institution: Department of Energy
Amount: $346,255
MELISSES: Liquid Services for Scalable Multithreaded and Multicore Execution On Emerging Supercomuters
Granting Institution: Department of Energy
Amount: $231,246
Metrics And Methodologies for High Performance System Energy Benchmarking
Granting Institution: National Science Foundation
Amount: $200,000
Network Offloading For Genome Sequence Searching Using The Smarnic
Granting Institution: RNET Technologies
Amount: $74,802
On The Effects Of Culture And Society On Adversarial Attitudes And Behaviors
Granting Institution: Air Force Office of Scientific Research
Amount: $690,000
Scalable Performance Modeling and Analysis Framework
Granting Institution: National Science Foundation
Amount: $25,000
Social Network Analysis Classification
Granting Institution: Air Force Office of Scientific Research
Amount: $354,994
Stochastic Models Of Cell Cycle Regulation In Eukaryotes
Granting Institution: National Institute of General Medical Sciences
Amount: $3,424,192
The Adaptive Code Kitchen & Flexible Tools for Dynamic Application Composition
Granting Institution: National Science Foundation
Amount: $470,047
The Eukaryotic Cell Cycle as a Test Case for Modeling Cellular Regulation in a Collaborative PSE
Granting Institution: DARPA
Amount: $2,442,399
Thermal Conductors: Runtime Software Support For Proactive Head Management In Advances Execution Systems
Granting Institution: National Science Foundation
Amount: $69,992
Ultra-Scale Memory Analysis for High-End Computing
Granting Institution: Department of Energy
Amount: $230,204
VTASOS: Virtualization Technologies For Applied-Specific Operating Systems On Many-Core HPC Platforms
Granting Institution: National Science Foundation
Amount: $170,000
