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ARCTiC Labs | Advanced Research in Computing Technology and Compilers

Go to the U of M home page. For Students, Faculty, and Staff. Advanced Research in Computing Technology and Compilers. ARCTiC Labs is the Laboratory for. Advanced Research in Computing Technology and Compilers. In the Department of Electrical and Computer Engineering at the University of Minnesota. Parallel and GPU computing. Processor design with emerging technologies. Books, software, and other Resources. Measuring Computer Performance: A Practitioner's Guide. Electrical and Computer Engineering. Depar...

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ARCTiC Labs | Advanced Research in Computing Technology and Compilers | arctic.umn.edu Reviews

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Go to the U of M home page. For Students, Faculty, and Staff. Advanced Research in Computing Technology and Compilers. ARCTiC Labs is the Laboratory for. Advanced Research in Computing Technology and Compilers. In the Department of Electrical and Computer Engineering at the University of Minnesota. Parallel and GPU computing. Processor design with emerging technologies. Books, software, and other Resources. Measuring Computer Performance: A Practitioner's Guide. Electrical and Computer Engineering. Depar...

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ARCTiC Labs | Advanced Research in Computing Technology and Compilers | arctic.umn.edu Reviews

https://arctic.umn.edu

Go to the U of M home page. For Students, Faculty, and Staff. Advanced Research in Computing Technology and Compilers. ARCTiC Labs is the Laboratory for. Advanced Research in Computing Technology and Compilers. In the Department of Electrical and Computer Engineering at the University of Minnesota. Parallel and GPU computing. Processor design with emerging technologies. Books, software, and other Resources. Measuring Computer Performance: A Practitioner's Guide. Electrical and Computer Engineering. Depar...

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arctic.umn.edu

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ARCTiC Labs

http://www.arctic.umn.edu/funders.shtml

Http:/ www.umn.edu/. Go to the U of M home page. Search U of M Web sites. College of Science and Engineering. The research in ARCTiC Labs has been generously supported by:. If you would like to support our research, there are three funding mechanisms available:. You can donate funds through the University of Minnesota Foundation. Please designate your gift "To support Professor David Lilja's research in Electrical and Computer Engineering." We also can accept equipment donations. Contact U of M.

2

ARCTiC Labs

http://www.arctic.umn.edu/GPU.shtml

Http:/ www.umn.edu/. Go to the U of M home page. Search U of M Web sites. College of Science and Engineering. High-performance and parallel computing with GPUs. Using Graphics Processing Units (GPUs) for general-purpose computing has made high-performance parallel computing very cost-effective for a wide variety of applications. However, programming these highly-parallel processors still remains somewhat of an art. Accelerating data deduplication in high-performance archival storage systems with g-Dedu.

3

Measuring Computer Performance: A Practitioner's Guide

http://www.arctic.umn.edu/perf-book/index.html

David J. Lilja. New York, NY, 2000. Average performance and variability. Errors in experimental measurements. Measurement tools and techniques. Simulation and random number generation. A list of corrections for the book. Supplemental teaching materials for performance evaluation courses. Performance Bookshelf - Recommendations for additional books on computer performance evaluation. Sign up for a short course on computer performance measurement and evaluation. Additional references on operational analysis.

4

ARCTiC Labs

http://www.arctic.umn.edu/stochastic.shtml

Http:/ www.umn.edu/. Go to the U of M home page. Search U of M Web sites. College of Science and Engineering. This work is investigating a novel approach for computation called stochastic logic. Peng Li and David J. Lilja, ` A Low Power Fault-Tolerance Architecture for Kernel Density Estimation-Based Image Segmentation Algorithm,' IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), September, 2011. Weikang Qian, Xin Li, Marc D. Riedel, Kia Bazargan, and...

5

ARCTiC Labs

http://www.arctic.umn.edu/paper-list.shtml

Http:/ www.umn.edu/. Go to the U of M home page. Search U of M Web sites. College of Science and Engineering. List of papers from Google Scholar. List of papers from the ACM Digital Library. The University of Minnesota is an equal opportunity educator and employer. Contact U of M.

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ele.uri.edu

MicroStAT » Project Overview

http://www.ele.uri.edu/faculty/sendag/microstat

A Microarchitecture Statistically-based Analysis Tool. Figure 1. The components of MicroStAT. This project is supported by NSF. MicroStAT is proudly powered by WordPress.

agassiz.cs.umn.edu

AGASSIZ Publications

http://agassiz.cs.umn.edu/agassiz_pubs.html

Agassiz Static and Dynamic Compilers. Please also visit DynOpt Group. For more information on dynamic compilers. Recovery Code Generation for General Speculative Optimizations", by J.Lin, W.C. Hsu, P.C. Yew, R.D.C. Ju, and T.F. Ngai, ACM Transactions on Architecture and Code Optimization (TACO), Vol.3, No.1, March 2006, pp. 67-89. Dynamic Code Region (DCR) Based Program Phase Tracking and Prediction for Dynamic Optimizations. Loop Selection for Thread-Level Speculation. A Compiler Framework for Recovery ...

simplescalar.com

SimpleScalar Extensions

http://www.simplescalar.com/extensions.html

SimpleScalar Extensions and Related Tools. We would appreciate feedback about what you find useful, and of course always appreciate sharing of resources! A collection of tools to figure out where you should spend your time simulating to get fast, accurate, and representative results, implemented by Prof. Calder. And his students at UCSD. SimPoint can be used straight out of the box with SimpleScalar simulators. A SimpleScalar extension that implements value prediction, implemented by Freddy Gabbay.

dtc.umn.edu

People: Faculty

http://www.dtc.umn.edu/people/faculty.php

Http:/ www.umn.edu/urelate. College of Science and Engineering. ADC Professor and DTC Director. Http:/ spincom.umn.edu/georgios/. 103;eorgios@ece.umn.edu. Research interests: Communications and signal processing, estimation and detection theory, time-series analysis, and system identification. Information and Decision Sciences. Http:/ ids.csom.umn.edu/faculty/gedas/. 103;edas@umn.edu. Computer Science and Engineering. Http:/ www-users.cs.umn.edu/ banerjee/. Computer Science and Engineering. 115;d&#1...

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ARCTiC Labs | Advanced Research in Computing Technology and Compilers

Go to the U of M home page. For Students, Faculty, and Staff. Advanced Research in Computing Technology and Compilers. ARCTiC Labs is the Laboratory for. Advanced Research in Computing Technology and Compilers. In the Department of Electrical and Computer Engineering at the University of Minnesota. Parallel and GPU computing. Processor design with emerging technologies. Books, software, and other Resources. Measuring Computer Performance: A Practitioner's Guide. Electrical and Computer Engineering. Depar...

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