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2nd Workshop on
Highly Parallel Processing on a Chip (HPPC
2008)
August 26, 2008, UAB-ULPGC, Las Palmas de
Gran Canaria, Spain
in conjunction with
August 26-29, 2008, UAB-ULPGC, Las Palmas
de Gran Canaria, Spain.
AIMS AND SCOPE
The decline in the growth of
single-processor performance, the growing concerns with energy
consumption, and the still exponential increase in transistors
per chip as per Moore's law, will open the scene for
single-chip processors with a substantial amount of parallelism
to meet the demands for extremely high performance,
reliability, and controlable power consumption in all areas of
computing. The major challenge for the coming years will be the
design of architectures supporting manageable programming
abstractions to allow the mainstream programmer to take
advantage of the processing power promised by the technological
developments.
HPPC, the second workshop in the series,
co-located with the EuroPar conference, is *the* workshop
dedicated to addressing all aspects of highly parallel
processing on a chip, be it in existing or emerging multi-core
designs, or in bold, new proposals for architectures,
programming models, languages and libraries for managing and
exploiting massive levels of parallelism on a chip. Particular
emphasis is on the interaction between hardware, architecture
(processors, on-chip networks, cache and memory system),
programming models and languages, and algorithms as well as
applications in need of significant amounts of single-chip
parallelism. The workshop will be conducted in an informal
atmosphere, stressing interaction and discussion between
presenters and audience.
Topics of interest include, but are not
limited to
° hardware techniques (e.g. power
saving, clocking, fault-tolerance)
° processor core architectures
(homogeneous and heterogeneous)
° special purpose processors
(accelerators)
° on-chip memory and cache (or
cache-less) organization, and interconnects
° off-chip memory, I/O, and multi-core
interconnects
° overall system design (resource
allocation and balancing)
° programming models (e.g. PRAM, BSP,
data parallel, vector, transactional),
° languages and software libraries
° implementation techniques (e.g.
multi-threading, work-stealing)
° support and performance tools,
performance evaluation
° parallel algorithms and applications
for/on highly parallel multi-core systems.
Authors are encouraged to submit original,
unpublished research or overviews addressing issues in
the design and application of highly parallel multi-core
processors as outlined above.
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Last updated July 21, 2008, MF
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