© David Kirk/NVIDIA and Wen-mei W. Hwu, 2007-2011 ECE408/CS483, University of Illinois, Urbana-Champaign 1 ECE408 / CS483 Applied Parallel Programming.
L14: Application Case Studies II CS6963. Administrative Issues Project proposals – Due 5PM, Wednesday, March 17 (hard deadline) – handin cs6963 prop CS6963.
© David Kirk/NVIDIA and Wen-mei W. Hwu, 2007 ECE 498AL, University of Illinois, Urbana-Champaign 1 ECE 498AL Lecture 14: Basic Parallel Programming Concepts.
© David Kirk/NVIDIA and Wen-mei W. Hwu, 2007-2009 ECE 498AL, University of Illinois, Urbana-Champaign 1 Programming Massively Parallel Processors Using.
©Wen-mei W. Hwu and David Kirk/NVIDIA 2010 ECE 498HK Computational Thinking for Many-core Computing Lecture 15: Dealing with Dynamic Data.
Weekly Report- Matrix multiplications Ph.D. Student: Leo Lee date: Oct. 16, 2009.
Parallel Programming using CUDA. Traditional Computing Von Neumann architecture: instructions are sent from memory to the CPU Serial execution: Instructions.
L4: Memory Hierarchy Optimization I, Locality and Data Placement CS6963.
L7: Memory Hierarchy Optimization IV, Bandwidth Optimization and Case Studies CS6963.
L8: Control Flow CS6963. Administrative Next assignment on the website – Description at end of class – Due Wednesday, Feb. 17, 5PM (done?) – Use handin.
©Wen-mei W. Hwu and David Kirk/NVIDIA, ECE408/CS483/ECE498AL, University of Illinois, 2007-2012 ECE408/CS483 Applied Parallel Programming Lecture 7: DRAM.
Skew Handling in Aggregate Streaming Queries on GPUs Georgios Koutsoumpakis 1, Iakovos Koutsoumpakis 1 and Anastasios Gounaris 2 1 Uppsala University,