Computer manufacturers have embarked on the many-core roadmap, promising to add more and more cores/hardware threads on their chips. The ever-increasing number of cores and heterogeneity in architectures has placed new burdens on the programming community. Software needs to be parallelized and optimized for accelerators such as GPUs in order to take advantage of the new breed of multi-/many-core computers. As a result, progress in how to easily harness the computing power of multi-core architectures is in great demand.

Topics    

• Multi-core architectures
• Architectural support for compilers/programming models
• Processor (core) architecture and accelerators, in particular GPUs
• Memory system architecture
• Performance, power, temperature, and reliability issues
• Heterogeneous computing
• Algorithms and data structures for heterogeneous systems
• Applications for heterogeneous computing and real-time graphics
• Programming models for multi-core architectures
• Language extensions
• Run-time systems
• Compiler optimizations and techniques
• Benchmarking of multi-/many-core architectures
• Tools for discovering and understanding parallelism
• Tools for understanding performance and debugging
• Case studies and performance evaluation

 

Submission Deadline   : October 22, 2017

 

User Name : cressida
Posted 19-09-2017 on 19:33:30 AEDT

Related CFPs

NCS 2026   18th International Conference on Network and Communications Security (NCS 2026)
IJCACS   International Journal of Control, Automation, Communication and Systems
AIDMK 2026   14th International Conference on Artificial Intelligence, Data Mining & Knowledge Management (AIDMK 2026)
IJCCSA   International Journal on Cloud Computing: Services and Architecture