PPT-1 Efficient Performance Scaling of Future CGRAs

for Mobile Applications Yongjun Park Jason Jong Kyu Park and Scott Mahlke December 11 2012 University of Michigan Ann Arbor Convergence of Functionalities 2 Convergence of functionalities demands a flexible . PERFORMANCE AIMThe Fund aims to deliver cash (3 Month GBP LIBOR minus 0.125%) + 4% on a rolling annualised 5 year basis before fees. In doing so, the Fund aims to achieve a positive return over a roll ISC 2015. Kenneth Moreland . and. Ron Oldfield. Sandia National Laboratories. Parallel Algorithm Speedup. Parallel Algorithm Speedup. Serial time for large problem sizes. Cannot be measured in practice. Dimension Reduction. Student: . Seung-Hee. . Bae. Advisor: . Dr. Geoffrey C. Fox. School of Informatics and Computing. Pervasive Technology Institute. Indiana University. Thesis Defense, Jan. 17, 2012. for Hydrodynamic . Separators. Mark B. Miller, P.G.. Research Scientist. mmiller@aquashieldinc.com. Chattanooga, Tennessee. (888) 344-9044. EPA Region 6 MS4 Stormwater Conference. July 27 – August 1, 2014. Douglas J. Matzke, Ph.D.. IEEE Senior Member. matzke@IEEE.org. Dallas IEEE Computer Society Meeting . Friday Jan . 21, 2011. Abstract. Jan 21, 2011 DJM. 2. In September 1997, Dr. Matzke wrote the lead off paper entitled "Will Physical Scalability Sabotage Performance Gains?" for the special issue of Computer Magazine on "Billion Transistor Computer". This paper is now required reading for most computer architecture courses in the world and cited by 257 other papers. The prediction in that paper was architectures would become more fine grain due to wire scaling and most likely the billion transistor computer would be a multiple CPU machine. This paper will give an update on this prediction and talk about other trends in the architecture and device arena, including multi core . Ananth Grama. . Computer Science, Purdue University. ayg@cs.purdue.edu. Outline. Introduction. Molecular Dynamics Methods vs. ReaxFF. Sequential Realization: SerialReax. Algorithms and Numerical Techniques. Criterion-Related Validation. Regression & Correlation. What’s the difference between the two?. Significance . Testing. Type I and type II errors. Statistical power to reject the null. . Chapter 6 Predicting Future Performance. Criterion-Related Validation. Regression & Correlation. What’s the difference between the two?. Significance . Testing. Type I and type II errors. Statistical power to reject the null. . Chapter 6 Predicting Future Performance. Jordan . Radice. jordanra@buffalo.edu. Advanced . VLSI. Spring 2015. Dr. Ram Sridhar. Background. Moore’s Law (As we all know): Doubling of transistors every 1.5 ~ 2.0 years.. Dennard scaling works in conjunction with Moore’s law in that we maintain the overall power density of the chip area despite the exponential increase in transistors.. . NFV. Zhilong. . Zheng. . Jun. . Bi. . Chen Sun . Heng. Yu . Hongxin. Hu. Zili. . Meng. . Shuhe. Wang Kai Gao . Jianping. Wu. Network Function Virtualization (NFV. ). 2. VPN. Bodie, Kane and Marcus. Essentials of Investments . 9. th. Global Edition. . 8. 8.1 Random Walks and Efficient Market Hypothesis. Random Walk. Notion that stock price changes are random. Efficient Market Hypothesis (EMH). Supported by ERC starting grant.. IEEE INFOCOM 2017, Atlanta, GA, USA. Mor. Sides. , . Anat. . Bremler. -Barr, Eli . Brosh. Interdisciplinary Center, . Herzliya. , Israel. Distributed Denial of Service. &. . Energy efficiency Data Protocol and Portal (. EeDaPP. ). &. Energy efficient Mortgage Market Implementation Plan (. EeMMIP. ). In the EU 2. 7. there are… . Bring Energy Efficiency to the EU buildings stock: . Osman . Sarood. How faster can we run?. Suppose we have this serial problem with 12 tasks. How fast can we run given 3 processors?. Running in parallel. Execution time reduces from 12 . secs. to 4 .