'Arallel' presentation slideshows

MODELING OF HIGH PERFORMANCE PROGRAMS TO SUPPORT HETEROGENEOUS COMPUTING

MODELING OF HIGH PERFORMANCE PROGRAMS TO SUPPORT HETEROGENEOUS COMPUTING. Ph.D. committee Dr. Jeff Gray, COMMITTEE CHAIR Dr. Purushotham Bangalore Dr. Jeffrey Carver Dr. Yvonne Coady Dr. Brandon Dixon Dr. Nicholas Kraft Dr. Susan Vrbsky. FEROSH JACOB

894 views • 80 slides

Distributed Systems CS 15-440

Distributed Systems CS 15-440. Programming Models Gregory Kesden Borrowed and adapted from our good friends at CMU-Doha, Qatar Majd F. Sakr, Mohammad Hammoud andVinay Kolar. Objectives. Discussion on Programming Models. MapReduce. Message Passing Interface (MPI).

834 views • 70 slides

Distributed Systems CS 15-440

414 views • 41 slides

Uzi Vishkin

Can photonics & microfluidic cooling save many-core parallel programming from its programming woes ?. Disclaimer: Driven by high impact CS questions. But, neither photonics nor cooling are my fields of expertise. Uzi Vishkin. Many-core computing: state of the art.

364 views • 36 slides

Distributed Systems CS 15-440/640

Distributed Systems CS 15-440/640. Programming Models Borrowed and adapted from our good friends at CMU-Doha, Qatar Majd F. Sakr, Mohammad Hammoud andVinay Kolar. Objectives. Discussion on Programming Models. MapReduce. Message Passing Interface (MPI). Examples of parallel processing.

364 views • 36 slides

Evolution of Parallel Programming in HEP

549 views • 35 slides

Distributed Systems CS 15-440

482 views • 34 slides

CHAPTER 30 (in old edition) Parallel Algorithms

499 views • 30 slides

Visual Studio Camp #1 About Concurrency Runtime

554 views • 26 slides

258 views • 15 slides

Attractions in POcity

Attractions in POcity. 49 th P arallel.

208 views • 13 slides

Groundwater Modeling, Inverse Characterization, and Parallel Computing

360 views • 11 slides

Parallel Algorithms in STAPL Implementation and Evaluation

Parallel Algorithms in STAPL Implementation and Evaluation. Jeremy Vu Faculty Mentor: Dr. Nancy Amato Supervisor: Dr. Mauro Bianco Parasol Lab, Texas A&M University. Presentation Outline. Parallelism What is parallelism? What are some motivations/problems? What are some solutions?

210 views • 11 slides

Parallel Performance

Week 7 Lecture Notes. Parallel Performance. Parallel Speedup. Parallel speedup: how much faster does my code run in parallel compared to serial? Max value is p , the number of processors. Parallel speedup = serial execution time

240 views • 11 slides

Parallel Performance

Week 7 Lecture Notes. Parallel Performance. Parallel Speedup. Parallel speedup: how much faster does my code run in parallel compared to serial? Max value is p , the number of processors. Parallel speedup = serial execution time

118 views • 11 slides

High Performance Computing with R

High Performance Computing with R.

63 views • 5 slides