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Efficient Program Compilation through Machine Learning Techniques Gennady Pekhimenko IBM Canada Angela Demke Brown University of Toronto
Efficient Program Compilation through Machine Learning Techniques Gennady Pekhimenko IBM Canada Angela Demke Brown University of Toronto
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Intel Software College Tuning Threading Code with Intel® Thread Profiler for Explicit Threads
Intel Software College Tuning Threading Code with Intel® Thread Profiler for Explicit Threads
266 views
© 2011 Altera CorporationPublic The Trends in Programmable Solutions SoC FPGAs for Embedded Applications and Hardware-Software Co-Design Misha Burich Senior
© 2011 Altera CorporationPublic The Trends in Programmable Solutions SoC FPGAs for Embedded Applications and Hardware-Software Co-Design Misha Burich Senior
215 views
Mostafa Ammar, School of Computer Science Georgia Institute of Technology Atlanta, GA Mobile Computing in Cirrus Clouds: Mobile Computing in Cirrus Clouds:
Mostafa Ammar, School of Computer Science Georgia Institute of Technology Atlanta, GA Mobile Computing in Cirrus Clouds: Mobile Computing in Cirrus Clouds:
215 views
Computer Architecture Lecture Notes Spring 2005 Dr. Michael P. Frank Competency Area 2: Performance Metrics Lecture 1
Computer Architecture Lecture Notes Spring 2005 Dr. Michael P. Frank Competency Area 2: Performance Metrics Lecture 1
213 views
Valeriy Tenishev, Dmitriy Borovikov, Nicolas Fougere, Yuni Lee, Michael R. Combi, Tamas Gombosi, Martin Rubin
Valeriy Tenishev, Dmitriy Borovikov, Nicolas Fougere, Yuni Lee, Michael R. Combi, Tamas Gombosi, Martin Rubin
221 views
© 2006 Pearson Addison-Wesley. All rights reserved9 A-1 Chapter 9 Advanced Java Topics (inheritance review + Java generics)
© 2006 Pearson Addison-Wesley. All rights reserved9 A-1 Chapter 9 Advanced Java Topics (inheritance review + Java generics)
218 views
Machine Obstructed Proof Nick Benton Microsoft Research
Machine Obstructed Proof Nick Benton Microsoft Research
240 views
Heterogeneous Computing: New Directions for Efficient and Scalable High-Performance Computing Dr. Jason D. Bakos
Heterogeneous Computing: New Directions for Efficient and Scalable High-Performance Computing Dr. Jason D. Bakos
218 views
CMPT 300: Final Review Chapters 8 – 12. 2 Memory Management: Ch. 8, 9 Address spaces Logical (virtual): generated by the CPU Physical: seen by the memory
CMPT 300: Final Review Chapters 8 – 12. 2 Memory Management: Ch. 8, 9 Address spaces Logical (virtual): generated by the CPU Physical: seen by the memory
218 views
1 On the Anonymization of Sparse High-Dimensional Data 1 National University of Singapore {ghinitag,kalnis}@comp.nus.edu.sg 2 Chinese University of Hong
1 On the Anonymization of Sparse High-Dimensional Data 1 National University of Singapore {ghinitag,kalnis}@comp.nus.edu.sg 2 Chinese University of Hong
213 views
CMPT 300: Final Review Chapters 8 – 14. 2 Memory Management: Ch. 8, 9 Address spaces Logical (virtual): generated by the CPU Physical: seen by the memory
CMPT 300: Final Review Chapters 8 – 14. 2 Memory Management: Ch. 8, 9 Address spaces Logical (virtual): generated by the CPU Physical: seen by the memory
218 views