PPT-Managing DRAM Latency Divergence in Irregular GPGPU Applications

Author : alexa-scheidler | Published Date : 2018-03-21

Niladrish Chatterjee Mike OConnor Gabriel H Loh Nuwan Jayasena Rajeev Balasubramonian Irregular GPGPU Applications Conventional GPGPU workloads access vector

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Managing DRAM Latency Divergence in Irregular GPGPU Applications: Transcript

Niladrish Chatterjee Mike OConnor Gabriel H Loh Nuwan Jayasena Rajeev Balasubramonian Irregular GPGPU Applications Conventional GPGPU workloads access vector or matrixbased data structures. Niladrish. . Chatterjee. Manjunath. . Shevgoor. Rajeev . Balasubramonian. Al Davis. Zhen Fang. ‡†. Ramesh . Illikkal. *. Ravi . Iyer. *. University of Utah , NVidia. ‡. and Intel Labs*. †. David Alan Paterson. 23 Aug 2011. Part 1. Infinite numbers as the limits of sequences of real numbers. Part 2. Oscillatory sequences & applications. Banishing divergence: Omega. Banishing Divergence: Big O notation. Ang. . Li. University . of . Wisconsin-Madison. Outline. Brief Introduction of Background. Implementation. Evaluation. Conclusion. 3/20/2013. 2. NVIDIA GTC 2013. Background. JPEG Encoding. Parallelism Seeking. . Mauricio Hess-Flores. 1. , . Daniel Knoblauch. 2. , Mark . A. . Duchaineau. 3. , Kenneth . I. . Joy. 4. , . Falko. . Kuester. 5. Abstract. . - . An algorithm that shows how ray divergence in . multi-view stereo . Performance Characterization of. Irregular . GPU Kernels. Molly A. O’Neil and Martin Burtscher. Department of Computer Science. Introduction. GPUs as general-purpose accelerators. Ubiquitous. in high performance computing. Bank Privatization for Predictability and Temporal Isolation. Sungjun. . Kim . Columbia . University. Edward A. Lee . UC . Berkeley . Isaac . Liu . UC Berkeley. Hiren. D. Patel University of Waterloo. Condor Week 2012. Bob Nordlund. Grid Computing @The Hartford…. Using Condor in our production environment since 2004. Computing Environment. Two pools (Hartford, CT and Boulder, CO). Linux central managers and schedulers. LO: to understand further issues about Language and Occupation. Starter: Look . at the examples below. In each case, try to explain what kind of language interaction is taking place and what form of utterance the speaker is . Convergence & Divergence Theorems. Convergence & Divergence Theorems. Convergence & Divergence Theorems. Convergence & Divergence Theorems. Jared . Coplin. and Martin . Burtscher. Department of Computer Science. 1. Introduction. GPU-based accelerators. Used in high-performance computing. Spreading in PCs and handheld . devices. 2. Power Characteristics of Irregular GPGPU Programs . Divergence. In calculus, the divergence is used to measure the magnitude of a vector field’s source or sink at a given point. Thus it represents the volume density of the outward flux of a vector field . . Fisica. . Nucleare. (INFN). Italy. Accelerated Computing support . in EGI-Engage. Marco.Verlato (at pd.infn.it). Task part of WP4 (JRA2): Platforms for the Data Commons. Expand the EGI federated Cloud platform with new . Vivek Seshadri. Thomas Mullins, . Amirali. . Boroumand. , Onur Mutlu, . Phillip B. . Gibbons, Michael A. Kozuch, . Todd C. Mowry. Executive summary. Problem: Non-unit . strided. accesses. Present in many applications. Jason Jong Kyu Park. 1. , . Yongjun. Park. 2. , and . Scott . Mahlke. 1. 1. 1. University . of . Michigan, . Ann . Arbor. 2. Hongik University. GPUs in Modern Computer Systems. 2. GPU is now a default.

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