PPT-NAPEL: Near-Memory Computing Application Performance Prediction

Author : nersonvisa | Published Date : 2020-07-01

via Ensemble Learning Gagandeep Singh Juan GomezLuna Giovanni Mariani Geraldo F Oliveira Stefano Corda Sander Stuijk Onur Mutlu Henk Corporaal 56 th Design Automation

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NAPEL: Near-Memory Computing Application Performance Prediction: Transcript

via Ensemble Learning Gagandeep Singh Juan GomezLuna Giovanni Mariani Geraldo F Oliveira Stefano Corda Sander Stuijk Onur Mutlu Henk Corporaal 56 th Design Automation Conference DAC Las Vegas. Avg Access Time 2 Tokens Number of Controllers Average Access Time clock cyles brPage 16br Number of Tokens vs Avg Access Time 9 Controllers Number of Tokens Average Access Time clock cycles brPage 17br brPage 18br Static Branch Prediction. Code around delayed branch. To reorder code around branches, need to predict branch statically when compile . Simplest scheme is to predict a branch as taken. Average misprediction = untaken branch frequency = 34% SPEC. Elad. . Hazan. (. Technion. ). Satyen Kale . (Yahoo! Labs). Shai. . Shalev-Shwartz. (Hebrew University). Three Prediction Problems: . I. Online Collaborative Filtering. Users: . {1, 2, …, m}. Movies: . Winston P. Nagan . With the assistance of Megan E. Weeren . April 10, 2015. Anticipation will invariably entail complexity in the context of the individual self systems functioning in the social process and interacting in social relations.. Saehoon Kim. §. , . Yuxiong He. *. ,. . Seung-won Hwang. §. , . Sameh Elnikety. *. , . Seungjin Choi. §. §. *. Web Search Engine . Requirement. 2. Queries. High quality + Low latency. This talk focuses on how to achieve low latency without compromising the quality. Yongin. Kwon, . Sangmin. Lee, . Hayoon. Yi, . Donghyun. Kwon, . Seungjun. Yang, . Byung. -. Gon. Chun,. Ling Huang, . Petros. . Maniatis. , . Mayur. . Naik. , . Yunheung. . Paek. USENIX ATC’13. Presentation to AMS Board on Enterprise Communications. September 2012. ESPC Overview. Introduction. ESPC is an . interagency collaboration . between DoD (Navy, Air Force), NOAA, DoE, NASA, and NSF for coordination of research to operations for an earth system analysis and extended range prediction capability. . By: Roshan Kathir, Javakar Jeyanathan, Theodore Egube. What is Quantum Computing?. Computing using quantum mechanics. Very powerful technology to allow extremely fast computing . Uses . qubits . instead of bits. ITS Research Computing. Mark Reed. Overview – Research Computing. Resources. Services. Projects. ReCo Resources. Computational Resources. compute clusters: Longleaf, Killdevil, . Dogwood. Special purpose servers: . Working Group Break-Out Session Discussion. IMAG MSM Meeting 2017. Compiled by Portonovo S. Ayyaswamy and Ravi Radhakrishnan, University of Pennsylvania. High-Performance Computing (HPC) WG Goals. Initiate discussion, foster collaboration, share know-how on (but not limited) to:. Ahmed . Sameh. and . Ananth. . Grama. NNSA/PRISM Center,. Purdue University. Path to . Exascale. Hardware Evolution. Key Challenges for Hardware. System Software. Runtime Systems. Programming Interface/ Compilation Techniques. GRID COMPUTING. Aloysius Airlangga Bajuadji, S.Kom, M.Eng. aabayuadji@yahoo.com. | . aabayuadji@gmail.com. Bayu R Langga. 1. High Performance Computing | 2012. 3. GRID COMPUTING. Adalah. . sekumpulan. Main Contribution of this Research Work , collected data is streamed to a central server and data . is processed . on a powerful central server which is usually far away from the . data source.. Cloud Computing or simply “the . Cloud. ”,is.

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