UCHPC 2016 - 9th Workshop on UnConventional High Performance Computing 2016 (UCHPC 2016)

Recent issues with the power consumption of conventional HPC hardware results in both new interest in accelerator hardware and in usage of mass-market hardware originally not designed for HPC. The most prominent examples are GPUs, but FPGAs, DSPs and embedded designs are also possible candidates to provide higher power efficiency, as they are used in energy-restriced environments, such as smartphones or tablets. The so-called "dark silicon" forecast, i.e. not all transistors may be active at the same time, may lead to even more specialized hardware in future mass-market products. Exploiting this hardware for HPC can be a worthwhile challenge.
As the word "UnConventional" in the title suggests, the workshop focuses on usage of hardware or platforms for HPC, which are not (yet) conventially used today, and may not be designed for HPC in the first place. Reasons for its use can be raw computing power, good performance per watt, or low cost in general. To address this unconventional hardware, often, new programming approaches and paradigms are required to make best use of it. Another focus of the workshop is on innovative, (yet) unconventional new programming models, and algorithms (e.g. Big Data) exploiting unconventional HPC hardware or software.
To this end, UCHPC tries to capture solutions for HPC which are unconventional today but could become conventional and significant tomorrow, and thus provide a glimpse into the future of HPC.
Topics
The goal of this workshop is to present research exploring currently unconventional techniques for HPC and their benefits. UCHPC also covers according programming models, compiler techniques, and tools. Thus, suggested topics for papers include, but are not limited to the following:
Innovative use of hardware and software unconventional for HPC
HPC applications in connection with HPC on GPUs (GPGPU), low power/embedded processors, FPGAs, Intel's Xeon Phi architecture, Tilera's tile-based many-core processors, AMDs HSA/hUMA concept, Processing in Memory (PIM), accelerators, etc.
Cluster/Grid solutions using unconventional hardware, e.g. clusters of game consoles, nodes using GPUs, Low Power/Embedded Processors, MPSoCs, new many-cores from Intel and/or ARM designs, Mac Minis/AppleTVs, FPGAs etc.
Heterogeneous computing on hybrid platforms
Performance and scalability studies in HPC using unconventional hardware
Reconfigurable Computing for HPC
Performance modeling, analysis and tools for HPC with unconventional hardware
New/modified or unconventional programming models for HPC, including e.g. PGAS or task-based concepts
Big data and/or deep learning using unconventional HPC hardware or software