[hpc-announce] Call for Papers: HCW 2018 Heterogeneity in Computing Workshop 2018 (collocated with IPDPS 2018)
ftessier at anl.gov
Wed Jan 17 13:34:56 CST 2018
Call for Papers: 2018 Heterogeneity in Computing Workshop (HCW;
collocated with IPDPS 2018)
The Twenty Seventh International Heterogeneity in Computing Workshop
(HCW), May 21, 2018
Collocated with 32nd IEEE IPDPS 2018, May 21 - 25, 2018, Vancouver,
British Columbia Canada
Sponsored by the IEEE Computer Society, through the Technical Committee
on Parallel Processing (TCPP), and by the U.S. Office of Naval Research
Most modern computing systems are heterogeneous, either for organic
reasons because components grew independently as it is the case in
desktop grids, or by design to leverage the strength of specific
hardware as it is the case in accelerated systems. In any case, all
computing systems have some form of hardware or software heterogeneity
that must been managed, leveraged and understood. HCW is a venue to
discuss and innovate in all theoretical and practical aspects of
heterogeneous computing: programmability, modeling, design,
applications, efficient utilization, algorithms, etc.
Topics of interest include but are not limited to the following areas:
Heterogeneous multicore systems and architectures: Design, exploration,
and experimental analysis of heterogeneous computing systems such as
GPGPUs, heterogeneous systems-on-chip (SoC), accelerator systems (e.g.,
Xeon Phi), FPGAs, big.LITTLE, and application-specific architectures.
Heterogeneous parallel and distributed systems: Design and analysis of
computing grids, cloud systems, hybrid clusters, datacenters,
geo-distributed computing systems, and supercomputers.
Algorithms for heterogeneous systems: Parallel algorithms for solving
problems on heterogeneous systems (multicores, hybrid clusters, grids or
clouds); strategies for scheduling and allocation on heterogeneous 2D
and 3D multicore architectures; scheduling and resource management on
large-scale and parallel heterogeneous systems.
Deep-memory hierarchies: Design and analysis of memory hierarchies with
SRAM, DRAM, Flash/SSD and HDD technologies; NUMA architectures; cache
coherence strategies; novel memory systems such as phase-change RAM,
magnetic (e.g., STT) RAM, 3D Xpoint/crossbars, and memristors.
On-chip and off-chip network architectures: Network-on-chip (NoC)
architectures and protocols for heterogeneous multicores and
heterogeneous applications; energy, latency, reliability, and security
optimizations for NoCs; off-chip (chip-to-chip) network architectures
and optimizations; large scale parallel and distributed network design,
evaluation, and optimizations.
Programming models and tools: Programming paradigms and tools for
heterogeneous systems; middleware and runtime systems;
performance-abstraction tradeoff; interoperability of heterogeneous
software environments; workflows; dataflows.
Modeling, characterization, and optimizations: Performance models and
their use in the design of parallel and distributed algorithms for
heterogeneous platforms, characterizations and optimizations for
improving the time to solve a problem (throughput, latency, runtime),
modeling and optimizing electric consumption (power, energy); modeling
for failure management (fault tolerance, recovery, reliability);
modeling for security in heterogeneous platforms.
Applications on heterogeneous systems: Case studies; confluence of Big
Data systems and heterogeneous systems; data-intensive computing; deep
learning; scientific computing.
*Paper submission: January 25, 2018
*Author notification: February 28, 2018
*Camera Ready: March 15, 2018
Submissions will be done through the EasyChair. The page limit is 12
pages (papers can range from 6 to 12 pages). Please visit the HCW 2018
website (http://hcw.eecs.wsu.edu) for instructions on how to submit.
TECHNICAL PROGRAM COMMITTEE
Sudeep Pasricha, Colorado State University, USA (TPC CHAIR)
Domingo Gimenez, University of Murcia, Spain
Florina M. Ciorba, University of Basel, Switzerland
Hatem Ltaief, KAUST, Saudi Arabia
Francois Tessier, Argonne National Laboratory, USA
Matthias Diener, University of Illinois at Urbana-Champaign, USA
C.J. Newburn, NVidia, USA
Alexey Lastovetsky, University College Dublin, Ireland
Dana Petcu, West University of Timisoara, Romania
Daniel Cordeiro, University of São Paulo, Brazil
Ioana Banicescu, Mississippi State University, USA
Achim Streit, Karlsruhe Institute of Technology, Germany
Louis-Claude Canon, Université de Franche-Comté, France
Samuel Thibault, LaBRI, Université Bordeaux, France
Ryan Friese, Pacific Northwest National Laboratory, USA
Devesh Tiwari, Northeastern University, USA
Mohsen Amini Salehi, University of Louisiana Lafayette, USA
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