Wiki:DSLReadingList

From CSWiki

This is a list of papers that we could potentially discuss during the DSL Seminar. It is likely that this list will change frequently, so please check back soon. We are also working to get the links to the PDF files of each of these papers. If you have other papers you would like added, please send them to me. Please send me your vote with what papers you would like to see discussed at the seminar! The * denotes the number of votes a particular paper received!

Current reading list:

• (*) Using Clouds to Provide Grids Higher-Levels of Abstraction and Explicit Support for Usage Modes
• (*) Troubleshooting Thousands of Jobs on Production Grids Using Data Mining Techniques, David Cieslak, Nitesh Chawla, and Douglas Thain, IEEE Grid Computing, September 2008.
• (*) DataLab: Transactional Data Parallel Computing on an Active Storage Cloud, Brandon Rich and Douglas Thain, IEEE/ACM High Performance Distributed Computing, June 2008.
• (*) All-Pairs: An Abstraction for Data-Intensive Cloud Computing, Christopher Moretti, Jared Bulosan, Douglas Thain, and Patrick Flynn, International Parallel and Distributed Processing Symposium, April 2008.
• (*) QThreads: An API for Programming with Millions of Lightweight Threads, Kyle Wheeler, Richard Murphy, and Douglas Thain, Workshop on Multithreaded Archtectures and Applications at IPDPS, April 2008.
• (*) Chirp: A Practical Global Filesystem for Cluster and Grid Computing, Douglas Thain, Christopher Moretti, and Jeffrey Hemmes, Journal of Grid Computing, Springer, accepted for publication in 2008. DOI: 10.1007/s10723-008-9100-5.
• (*) Robert L. Grossman, Yunhong Gu, Michael Sabala and Wanzhi Zhang, Compute and Storage Clouds Using Wide Area High Performance Networks, Journal of Future Generation Computer Systems (FGCS), 2008.
• (*) Robert L Grossman and Yunhong Gu, Data Mining Using High Performance Clouds: Experimental Studies Using Sector and Sphere, Proceedings of The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), ACM, 2008.
• (*) File Grouping for Scientific Data Management: Lessons from Experimenting with Real Traces, Shyamala Doraimani and Adriana Iamnitchi, 17th ACM/IEEE Symposium on High Performance Distributed Computing (HPDC), Boston, MA, June 2008.
• (*) The Globus Replica Location Service: Design and Experience, Ann L. Chervenak, Robert Schuler, Matei Ripeanu, Muhammad Ali Amer, Ian Foster, Shishir Bharati, Adriana Iamnitchi, Carl Kesselman, IEEE Transactions on Parallel and Distributed Systems
• (*) StoreGPU: Exploiting Graphics Processing Units to Accelerate Distributed Storage Systems, Samer Al Kiswany, Abdullah Gharaibeh, Elizeu Santos-Neto, George Yuan, Matei Ripeanu, IEEE International Symposium on High Performance Distributed Computing (HPDC 2008), Boston, MA, June 2008.
• (*) stdchk: A Checkpoint Storage System for Desktop Grid Computing, Samer Al-Kiswany, Matei Ripeanu, Sudharshan Vazhkudai, Abdullah Gharaibeh, International Conference on Distributed Computing Systems (ICDCS'08), Beijing, China, June 17-20, 2008.
• (*) Entering the Petaflop Era: The Architecture and Performance of Roadrunner, SC08
• (*) Dynamically Adapting File Domain Partitioning Methods for Collective I/O Based on Underlying Parallel File System Locking Protocols, SC08
• (*) Using Server-to-Server Communication in Parallel File Systems to Simplify Consistency and Improve Performance, SC08
• (*) Scaling Parallel I/O Performance through I/O Delegate and Caching System, SC08
• (*) Efficient Management of Data Center Resources for Massively Multiplayer Online Games, SC08
• (*) Feedback Controlled Resource Sharing for Predictable eScience, SC08
• (*) Efficient Auction-based Grid Reservations using Dynamic Programming, SC08
• (*) Asymmetric Interactions in Symmetric Multicore Systems: Analysis, Enhancements, and Evaluation, SC08
• (*) A Novel Domain Oriented Approach for Scientific Grid Workflow Composition, SC08
• (*) Early Evaluation of BlueGene/P, SC08
• (*) Nimrod/K: Towards Massively Parallel Dynamic Grid Workflows, SC08
• (*) SMARTMAP: Operating System Support for Efficient Data Sharing among Processes on a Multi-core Processor, SC08
• (*) Lessons Learned at 208K: Toward Debugging Millions of Cores, SC08
• (*) Applying Double Auctions for Scheduling of Workflows on the Grid, SC08
• (*) Massively Parallel Genomic Sequence Search on the Blue Gene/P Architecture, SC08
• (*) The Role of MPI in Development Time: A Case Study, SC08
• (*) An Adaptive Cut-off for Task Parallelism, SC08
• (*) Programming the Intel 80-core Network-on-a-chip Terascale Processor, SC08
• (*) PAM: A Novel Performance/Power Aware Meta-scheduler for Multi-core Systems, SC08
• (*) Hiding I/O Latency with Pre-execution Prefetching for Parallel Applications, SC08
• (*) A Dynamic Scheduler for Balancing HPC Applications, SC08
• (*) Characterizing and Predicting the I/O Performance of HPC Applications using a Parameterized Synthetic Benchmark, SC08
• (*) Proactive Process-Level Live Migration in HPC Environments, SC08
• (*) BitDew: A Programmable Environment for Large-Scale Data Management and Distribution, SC08
• (*) Scalable Load-Balance Measurement for SPMD Codes, SC08
• (*) Using Overlays for Efficient Data Transfer over Shared Wide-area Networks, SC08
• (*) Capturing Performance Knowledge for Automated Analysis, SC08
• (*) The Cost of Doing Science in the Cloud: The Montage Example, SC08
• (*) High Performance Multivariate Visual Data Exploration for Extremely Large Data, SC08
• (*) Analysis of Application Heartbeats: Learning Structural and Temporal Features in Time Series Data for Identification of Performance Problems, SC08
• (*) Server-Storage Virtualization: Integration and Load Balancing in Data Centers, SC08
• (*) Prefetch Throttling and Data Pinning for Improving Performance of Shared Caches, SC08

Our previously discussed papers can be found here.

Papers that have not received votes recently and have been removed from the list of potential papers to be discussed are:

• none yet