PPT-RAMP: Resource-Aware Mapping for CGRAs

Shail Dave Mahesh Balasubramanian Aviral Shrivastava Compiler Microarchitecture Lab Arizona State University Coarse Grained Reconfigurable Array CGRA Quick Facts CGRAs can achieve powerefficiency of several 10s of . Jue. Hong. , . Pavan. . Balaji. , . Gaojin. Wen. , . Bibo. . Tu. , . Junming. Yan. , . Chengzhong. . Xu. , and . Shengzhong. . Feng. Oracle Corporation. Argonne National Laboratory. Chinese Academy of Sciences. for . Cpu. - and Memory Intense . Internet Services. Vlasia Anagnostopoulou. (. vlasia@cs.ucsb.edu. ), . Susmit. . Biswas. , . Heba. . Saadeldeen. , Ricardo . Bianchini. , . Tao Yang, Diana Franklin, Frederic T. Chong. 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 . Sandip Sharma . ERCOT . Operations Analysis . 1. Introduction. This presentation is intended to explain ERCOT’s expectation . of . the Resource . Entities . and QSEs during start-up and shut-down of the units based on the ERCOT Protocol, Operating Guides and Business Practice manual.. Shared-Resource Management. for Multi-Core Systems. Eiman Ebrahimi. *. Chang . Joo. . Lee. *. +. Onur. . Mutlu. ‡. Yale N. . Patt. *. * HPS Research Group . The University of Texas at Austin. Becoming a Recognized ASCA Model Program. Sarah Majoros, School Counselor. Madison Elementary School – Des Moines, Iowa. Is . based on the ASCA National Model.. Is a recognition program for individual schools, not districts or school counselors.. Sandip Sharma . ERCOT . Operations Analysis . 1. Introduction. This presentation is intended to explain ERCOT’s expectation . of . the Resource . Entities . and QSEs during start-up and shut-down of the units based on the ERCOT Protocol, Operating Guides and Business Practice manual.. Josiah Manson and Scott Schaefer. Texas A&M University. Texture Parameterization. Texture Parameterization. Texture Parameterization. Texture Parameterization. MIP-Mapping. MIP-Mapping. MIP-Mapping. Burst Buffer Enabled HPC Clusters. Chunxiao. Liao. 1. Background. High performance storage is critical to achieving computational efficiency on high performance computing (HPC) systems. . Capacity growth of disks continues to outpace increases in their bandwidth. MIRTM Simulation. ERCOT Staff. SAWG. Updated May 13, . 2015. Background. Load Resource qualification in SCED today is limited to Controllable Load Resources (CLRs). A Multi-Interval Real-Time Market (MIRTM) could enable different types of LRs to become SCED-qualified . . Non-Verbal Communications. On-Ramp Program 2011. Workshop Objective. Students will understand the use of nonverbal communication as a powerful tool to help them connect with others, express what they really mean, navigate challenging situations, and build better relationships.. Sufficiency of. Imbalance Reserves and. Requirements. Michael Schilmoeller. Friday, January 25, 2013. What are we talking about?. Why does it matter?. First example: increasing response. Second example, response and recovery. A Graph Pattern Matching Approach. Yang Cao. 1,2. , Wenfei Fan. 1,2. , . Shuai. Ma. 2. 1. 1. University of Edinburgh. . 2. Beihang University. Virtual Network Mapping (VNM). . . Compiler Techniques to Fight Bias and Correlated Errors on NISQ Hardware. Compiler: Program Transformation. Classical Program Transformation. Program Transformation. P. P’. Caveat:. P , P’ are semantically equivalent programs .