PPT-1 Lecture: Eyeriss Dataflow

Topics Eyeriss architecture and dataflow digital CNN accelerator We had previously seen basic ANNs that used tilingbuffersNFUs DianNao multiple chips to distribute the work and eliminate memory accesses . (and the Naiad system). Frank McSherry. , Derek G. Murray,. Rebecca Isaacs, . Michael Isard. Microsoft Research, Silicon Valley. Data-parallel dataflow. 1. 2. 3. 4. 5. 1. 4. 2. 3. 6. 6. 5. A. B. C. D. via Dataflow Flattening. Bertrand Anckaert. Ghent University/. Boston . Consulting Group. The Third International Conference on Emerging Security. Information, Systems and Technologies. . SECURWARE 2009. Yahoo! Research. Programming and Debugging . Large-Scale Data Processing Workflows. Context. Elaborate processing of large data sets. e.g.:. web search pre-processing. cross-dataset linkage. web information extraction. Yuan Lin. 1. , Yoonseo Choi. 1. , Scott Mahlke. 1. , Trevor Mudge. 1. , . Chaitali. Chakrabarti. 2. 1. Advanced Computer Architecture Lab, University of Michigan at Ann Arbor. 2. Department of Electrical Engineering, Arizona State University. Building Relational Web-Applications. Avraham . Leff. James T. . Rayfield. IBM T.J. Watson Research Center. {. avraham,jtray. }@us.ibm.com. OOPSLA’07. Presented by David Gonzalez. Key Insights:. Derek G. Murray. Michael Isard. Frank McSherry. Paul Barham. Rebecca Isaacs. Martín Abadi. Microsoft Research. 1. Batch processing. Stream processing. Graph processing. Timely dataflow. In. ⋈. #x. Frank McSherry. , Derek G. Murray,. Rebecca Isaacs, Michael Isard. Microsoft Research, Silicon Valley. Data-parallel dataflow. 1. 2. 3. 4. 5. 1. 4. 2. 3. 6. 6. 5. A. B. C. D. E. k1:. k2:. k3:. Data-parallel dataflow. 2. A Base-Language. To serve as an intermediate-level language for high-level languages. To serve as a machine language for parallel machines. . - J.B. Dennis. ~ Data Flow Graphs ~. CPEG421-2001-F-Topic-3-II. Dataflow. Tim . Hayles. Principal Engineer. National Instruments. September 9, 2008. hayles@ni.com. Agenda. What is . LabVIEW. Dataflow?. Why . is timing important to NI?. Further . motivation for this research. Apache NiFi Presented by: Joe Witt Apache NiFi PPMC Member Apache NiFi’s job: Enterprise Dataflow Management 1 Automate the flow of data from any source …to systems which extract meaning and Ministry (MoHE) Sultanate of Oman FAQ s 1. What is the DataFlow Group? The DataFlow Group is a leading global provider of specialized Primary Source Verification (PSV) solutions, and background scre To perform optimizations like constant propagation or dead code elimination, we must. Analyze program to find opportunities for performing optimizations safely. Transform program. Analysis is called . Shail Dave. 1. , . Youngbin. Kim. 2. , . Sasikanth. Avancha. 3,. Kyoungwoo. Lee. 2. , Aviral Shrivastava. 1. [1] Compiler Microarchitecture Lab, Arizona State University. [2] Department of Computer Science, Yonsei University. SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks. 9 authors @ NVIDIA, MIT, Berkeley, Stanford. ISCA . 2017. Convolution operation. Reuse. Memory: size vs. access energy. Dataflow decides reuse.