Wednesday, Sept 9, 2009
11:00 AM in 120 Powell Booth
Melaine Stefan
Computational Neurobiology Group
European Bioinformatics Institute (EBI)
Cambridge UK
Friday, July 24, 2009 2pm
Powell-Booth Room 100
Aviral Shrivastava
Assistant Professor, Department of Computer Science and Engineering,
School of Computing and Informatics, Arizona State University
Unlike design or manufacturing errors, soft errors are much harder to protect against, since they can happen anywhere and anytime. Consequently, soft error protection mechanisms incur extremely high overheads. Most software schemes against soft errors are based on re-execution of programs or parts thereof, to detect and correct soft errors, and therefore have very high performance (avoidable by adding more resources) power (unavoidable) overheads. In contrast, our research tries to achieve protection without explicit re-execution. Fundamentally, our compiler changes the way application uses microarchitectural components, so that it uses the already protected components to process the vulnerable data, and uses the unprotected components to process the protected data. Towards this philosophy goal, we have developed several compiler techniques to better use caches, and register files (RFs), two sites which most critically need protection. While I’ll gloss over our solutions for the cache, I will concentrate on the RF protection problem.
BIO:
Aviral Shrivastava is an Assistant Professor in the Department of Computer Science and Engineering, at the Arizona State University, where he has established and heads the Compiler and Microarchitecture Lab (CML). He received his master’s and doctorate in Information and Computer Science from University of California, Irvine. He received his bachelors in Computer Science and Engineering from Indian Institute of Technology, Delhi. His research interests lie at the intersection of compilers and microarchitectures in particular of embedded systems. He studies microarchitecture and compiler techniques for power, performance, temperature, and most recently reliability. Dr. Shrivastava is a lifetime member of ACM, and serves on organizing and program committees of several premier embedded system conferences, including CODES+ISSS, CASES and LCTES.
June 23, 2009
2PM, Powell Booth 100
Roberto Tagliaferri
NEuRoNe Lab, DMI Università di Salerno, Fisciano (Sa)
Clustering of real-world datasets is a complex problem. Optimization models seeking to maximize a fitness function assume that the solution corresponding to the global optimum is the best clustering solution. Unfortunately, this is not always the case, mainly because of noise or intrinsic ambiguity in the data, and due to these reasons several assessment techniques fail.
Here we present a set of tools implementing classical and novel techniques to approach clustering in a systematic way, with applications to complex biological datasets. The tools deal with the problem of generating multiple clustering solutions, performing cluster analysis on such clusterings (i.e. Meta Clustering) and reducing the final number of clusterings by the appropriate application of different Consensus techniques.
A subsequent crossing of prior knowledge to the obtained clusters helps the user in better understanding its meaning and validates the solutions. A collection of visualizations and interactive tools makes possible the challenge of managing such huge amount of information, allowing the user to extensively investigate for extracting knowledge from data.
Tuesday, June 2, 2009
2 pm, 100 Powell-Booth
Prof. Crista Lopes
UC Irvine; also, Core Developer, OpenSim; Co-Founder, Metaverse Ink; Co-Founder, Encitra
OpenSim is chartering territory in making Virtual Worlds interoperable with each other and with the Web. At the heart of it there is the Hypergrid, an emerging architecture that allows the seamless transfer of users’ agents between grids operated by different entities. While the Hypergrid is coming to life in the context of OpenSim-based 3D Virtual Worlds, its foundations shed a new light into what the Web could be.
About the speaker: Dr. Crista Videira Lopes is an Associate Professor in the School of Information and Computer Sciences at the University of California, Irvine. Prior to being in Academia, she worked at the Xerox Palo Alto Research Center (1995-2001). She is most known as co-inventor of AOP (Aspect Oriented Programming). She also made contributions to Ubiquitous Computing research with her work on lightweight software acoustic modems that encode small amounts of data in socially-acceptable sounds. Recently she has been working on infrastructures for Virtual Worlds. She is the recipient of several NSF grants, including a prestigious CAREER Award. Dr. Lopes has a PhD from Northeastern University, and MS and BS degrees from Instituto Superior Tecnico in Portugal.
Friday May 15 11AM
Powell-Booth Room 100
Miguel Angel Aragon Calvo
Johns Hopkins University
The distribution of matter on large scales can be described as an interconnected network of clusters, filaments and walls where the filaments are located at the intersection of walls and clusters are the nodes between filaments. I will present a new technique that allows the identification and characterization of voids, walls, filaments and clusters based on the topology of the density field traced by the critical points delineated by the watershed transform. I will also show recent experiments we have been doing combining interactive visualizations of physical processes with sound.