'Data flow graph' presentation slideshows

Social Computing and Big Data Analytics ??????????

Tamkang University. Tamkang University. Deep Learning with Google TensorFlow (Google TensorFlow ???? ). Social Computing and Big Data Analytics ??????????. 1042SCBDA10 MIS MBA (M2226) (8628) Wed, 8,9, (15:10-17:00) (B309). Min-Yuh Day ??? Assistant Professor ??????

802 views • 80 slides

Computer Architecture Out-of-order Execution

Computer Architecture Out-of-order Execution. By Yoav Etsion With acknowledgement to Dan Tsafrir , Avi Mendelson , Lihu Rappoport , and Adi Yoaz. The need for speed: Superscalar. Remember our goal: minimize CPU Time CPU Time = duration of clock cycle ? CPI ? IC

961 views • 63 slides

HW/SW Synthesis

HW/SW Synthesis. Outline. Synthesis CFSM Optimization Software synthesis Problem Task synthesis Performance analysis Task scheduling Compilation. POLIS Methodology. Graphical EFSM+ Esterel. Java. EC. Compilers. SW Synthesis. HW Synthesis. CFSMs. Partitioning. SW Estimation.

798 views • 43 slides

Topics

Topics. Basics of register-transfer design: data paths and controllers. High-level synthesis. Register-transfer design. A register-transfer system is a sequential machine.

634 views • 42 slides

Towards Fully Automatic Placement of Security Sanitizers and Declassifiers

Towards Fully Automatic Placement of Security Sanitizers and Declassifiers. Ben Livshits, Microsoft Research Stephen Chong, Harvard University. (1) preventing injection attacks such as cross-site scripting ( XSS) and SQL injection; and.

420 views • 32 slides

What simplifications could a compiler, or you, do without sacrifice fast execution?

What simplifications could a compiler, or you, do without sacrifice fast execution?. 5-7 Code optimization. Two functions f and g.

391 views • 31 slides

Lecture 7 9/21/11

360 views • 27 slides

Odessa: Enabling Interactive Perception Applications on Mobile Devices

473 views • 22 slides

Reactive Programming

Reactive Programming. Reactive programming.

239 views • 22 slides

Fast Distributed Deep Learning over RDMA

Fast Distributed Deep Learning over RDMA. Jilong Xue, Youshan Miao , Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou Microsoft Research. It is the Age of Deep Learning. Translation. Self-driving. Surveillance detection. Medical diagnostics. Game. Personal assistant. Art.

255 views • 21 slides

Sunita Chandrasekaran 1 Oscar Hernandez 2 Douglas Leslie Maskell 1 Barbara Chapman 2 Van Bui 2

Compilation and Parallelization Techniques with Tool Support to Realize Sequence Alignment Algorithm on FPGA and Multicore. Sunita Chandrasekaran 1 Oscar Hernandez 2 Douglas Leslie Maskell 1 Barbara Chapman 2 Van Bui 2 1 Nanyang Technological University, Singapore

296 views • 19 slides

Dryad: Distributed Data-Parallel Programs for Sequential Building Blocks

Dryad: Distributed Data-Parallel Programs for Sequential Building Blocks. Presented by: Theodoros Ioannou. Why Dryad. Efficient way for parallel and distributed applications Take advantage of the multicore servers Data parallelism Motivation: GPUs, Map Reduce and Parallel DBs.

429 views • 18 slides