PPT-Scalable URL Matching with Small Memory Footprint

David Hay With Anat BremlerBarr Daniel Krauthgamer Shimrit Tzur David This research was supported by ERC starting grant 259805 URL Matching 2 Action URL A1 work com. HEP Development. HEP Development. Who is HEP?. With more than 5,000 customers and 15 years experience, HEP has developed proven tools to help you identify and promote match opportunities, gain access to the highest quality prospect development information and enhance your data. . Berger. *. , McKinley. +. , . Blumofe. *. , Wilson. *. *. UT Austin, . +. Massachusetts. ASPLOS 2000. Presented by . Bogdan. . Simion. Dynamic Memory Allocation. Highly parallel applications common. ) Footprint for TLS Implementations. Hannes Tschofenig. Smart Object Security workshop, March 2012, Paris. How do the communication relationships look like?. For example: Does your smart object talk to only a small set of pre-defined servers?. Christopher . Ré. and Dan . Suciu. University of Washington. Approximate Lineage in One Slide. Lineage (Provenance) . In QP used to track correlations. Explain query/view results. VLDBs have lots of lineage. Discussion around how to reclaim context IDs (resources that are a part of message matching) after an . MPI_Comm_revoke. Basic problem: revoke is one-sided and can be called by multiple processes in the communicator. Gokarna Sharma. (A joint work with . Costas Busch. ). Louisiana State University. Agenda. Introduction and Motivation. Scheduling Bounds in Different Software Transactional Memory Implementations. Tightly-Coupled Shared Memory Systems. Yao . Song. 11/05/2015. The rate of data to be processed for pattern matching increases rapidly.. network intrusion detection systems. Email monitoring systems. The content of data stream to be matched becomes very complex.. Jungwook Choi and Rob . A. . Rutenbar. Belief . Propagation . FPGA for . Computer Vision. Variety . of pixel-labeling apps in CV are mapped to probabilistic graphical model, effectively solved by . BP. DRAM Scaling. Prof. Onur Mutlu. http://www.ece.cmu.edu/~omutlu. onur@cmu.edu. HiPEAC. ACACES Summer School 2013. July 15-19, . 2013. The Main Memory System. Main memory is a critical component of all computing systems. Footprints are always left at a crime scene. However, it may be impossible to locate them or differentiate them from other prints.. Usable footprints are found at approximately 40% of crime scenes. . Principle Component Analysis. (PCA. ). . Jiali. . zhang. , . X. iaohong. . Liu . MS Statistics Student. SAN JOSE STATE UNIVERSITY . 12/10/2015. T. he . D. efinition of Image .    \r\f\n \t\r\n 
 Edward Fernandez, Walid Najjar, Stefano . Lonardi. , Jason Villarreal. UC Riverside, Department of Computer Science and Engineering. Jacquard Computing. Introduction. Multithreaded architectures masks long memory latencies by context switching threads.. Large scale computing systems. Scalability . issues. Low level and high level communication abstractions in scalable systems. Network interface . Common techniques for high performance communication.