ESCAPE 2015 - 5th International Workshop on Extreme Scale Computing Application Enablement - Modeling and Tools

Silicon based technology has advanced in the past two decades as Moore's law predicted. A large number of computing cores, complex memory subsystems, and I/O devices are now packed onto modern VLSI chips such that the computational power per unit area has grown tremendously. To deliver petascale performance today, huge amounts of resources are being deployed via interconnected computing units, while programming languages and paradigms are being pushed beyond their initial designs to explore maximal parallel efficiency. As a consequence, work on application enablement has become an extremely challenging task. Furthermore, in the foreseeable future, exa- and higher scale computing systems are expected to incorporate even more massive numbers of multi-core processors and accelerators, such as the Graphics Processing Units (GPU) and co-processors Xeon Phi, which will pose critical challenges for enabling, optimizing and tuning applications on these systems. Therefore, there will be an increasingly urgent need to have efficient performance modeling, tuning, and enablement tools that address such challenges in extreme scale computing.
The goal of this workshop is to promote community-wide discussion identifying the methodologies, analysis, and software tools, which can enable effective and scalable performance evaluation for extreme scale computing systems. We seek submissions of papers that invent new techniques, introduce new methodologies, propose new research directions and discuss approaches for unsolved issues. In particular, contributions presenting novel, original work in all areas of GPU from hardware abstractions to specific applications in clouds are welcome.
The topics of this workshop are related to methodological aspects as well as practical of the application enablement in extreme scale computing. Topics of interest include (but are not limited to)
Performance modeling for all aspects of extreme scale systems, e.g., cores, memory, interconnect and I/O, etc.
Algorithms for self-tuning and -optimization of applications in extreme scale computing
Profiling and debugging tools for applications in extreme scale computing
Performance, tracing and simulation tools with extreme scalability
Methodologies and tools for extreme scale performance evaluation, and verification
Power efficiency
Empirical and deployment studies of extreme scale performance tools: challenges, techniques and lessons
Researches on acclerator-based high performance computing, such as:
Accelerator architecture
Benchmarking/measurements/scalability
Compilers and operating systems
Sharing, scheduling, and migration
Fault tolerant computing
Debugging and profiling
Hybrid system for accelerators with OpenMP, Pthread, and MPI