PPT-Synchronization trade-offs in GPU implementations of Graph Algorithms

Rashid Kaleem 1 Anand Venkat 2 Sreepathi Pai 1 Mary Hall 2 Keshav Pingali 1 1 University of Texas at Austin 2 University of Utah Outline Stochastic Gradient Descent. A) mutation. B) genetic drift. C) selection. D) migration. 2) Adaptations are favored because. A) they help the species survive. B) they are more advanced. C) they create a balanced ecosystem. D) they promote the reproduction of the genes that code for them. 1. Graph Algorithms. Many problems are naturally represented as graphs. Networks, Maps, Possible paths, Resource Flow, etc.. Ch. 3 focuses on algorithms to find connectivity in graphs. Ch. 4 focuses on algorithms to find paths within graphs. Introduction. Different species reproduce at vastly different rates over lifetimes that may differ dramatically.. Life history. . consists of the adaptations of an organism that influence the number of offspring it will produce, size and age at reproductive maturity, number of reproductive events, etc.. George Caragea, and Uzi Vishkin. University of Maryland. 1. Speaker. James Edwards. It has proven to be quite . difficult. to obtain significant performance improvements using current parallel computing platforms.. In: 13. th. International Conference on Extending Database Technology (EDBT). 2010.. Christoph Lofi, . lofi@ifis.cs.tu-bs.de . Ulrich Güntzer, ulrich.guentzer@informatik.uni-tuebingen.de . Wolf-Tilo . Susmitha. . kota. . 21-sep-2015. AGENDA. Introduction. Synchronization. Physical Clocks. Global Positioning System. Algorithms. Future Work. References. Introduction: Real . Time System. Modern Cloud Systems. Muntasir Raihan Rahman. 1. Final Examination. Modern Cloud Systems. NoSQL/KV stores. Graph processing. Disaster recovery. COST-PERFORMANCE TRADE-OFFS!. System. Class. Cost. Performance. Elena Litchman, Christopher . Klausmeier. and Kyle Edwards. Michigan State University. Z. N. I. P. NPZ. P. 2. P. 1. Z. N. I. P. 3. P. 4. Plankton Functional Groups. P. 1. P. 1. P. 1. P. 1. P. 1. P. 1. Synchronization Algorithms and Concurrent Programming Gadi Taubenfeld © 2014. . Synchronization Algorithms . and Concurrent Programming. Gadi Taubenfeld. Chapter 10 . Timing-based Algorithms. Version: . . kota. . 21-sep-2015. AGENDA. Introduction. Synchronization. Physical Clocks. Global Positioning System. Algorithms. Future Work. References. Introduction: Real . Time System. 1. . A . fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. A. A. Motivation. Clock . Sources & Hardware. Single-Hop Clock Synchronization. Clock Synchronization in Networks. is the study of how people seek to satisfy their . needs. and . wants. by making . choices. .. What is a . need?. A need is something necessary for survival. Examples:. What is a . want?. A want is an item we desire but is not essential to survival. Examples:. . Synchronization Algorithms . and Concurrent Programming. Gadi Taubenfeld. Chapter 3 . Mutual Exclusion using atomic registers: Advanced Topics. Version: . June 2014. Chapter 3. Synchronization Algorithms and Concurrent Programming Gadi Taubenfeld © 2014. Trade-offs in Planar Polyline Drawings. Department of Computer Science. University of Manitoba, Canada. Stephane Durocher Debajyoti Mondal. Polyline Drawings of Planar Graphs. a. b. c.