CMPP 2012 - 2nd International Workshop on Challenges on Massively Parallel Processors
Topics/Call fo Papers
Authors are invited to submit manuscripts that present original unpublished research, including the development of experimental or commercial systems. Work focusing on emerging technologies is especially welcome. Topics of interest include, but are not limited to:
Challenges for GPU Computing
Performance analysis and algorithm for applications from various areas
Supercomputing on GPU clusters
Novel techniques on performance acceleration for GPU computing
Compiler techniques and instruction scheduling for performance improvement
Challenges for architectures of massively parallel systems
Future system design
Massively parallel system on FPGA / LSI
Challenges for novel models and algorithms targeted to manycore/multicore systems
Modeling and algorithms from various areas on massively parallel environment
Stream computing
Performance acceleration models for future performance demands
Load balancing and task scheduling on massively parallel environment
Challenges for applications
Algorithms and practical performance analysis for industrial/numerical/scientific applications
Challenges for GPU Computing
Performance analysis and algorithm for applications from various areas
Supercomputing on GPU clusters
Novel techniques on performance acceleration for GPU computing
Compiler techniques and instruction scheduling for performance improvement
Challenges for architectures of massively parallel systems
Future system design
Massively parallel system on FPGA / LSI
Challenges for novel models and algorithms targeted to manycore/multicore systems
Modeling and algorithms from various areas on massively parallel environment
Stream computing
Performance acceleration models for future performance demands
Load balancing and task scheduling on massively parallel environment
Challenges for applications
Algorithms and practical performance analysis for industrial/numerical/scientific applications
Other CFPs
Last modified: 2012-04-05 16:34:22