Facing the Multicore-Challenge: Aspects of New Paradigms and Technologies in Parallel Computing, Volume 1
Rainer Keller, David Kramer, Jan-Philipp Weiss
Springer Science & Business Media, Oct 6, 2010 - Computers - 156 pages
The proceedings at hand are the outcome of the conference for young sci- tists titled Facing the Multicore-Challenge held at the Heidelberger Akademie der Wissenschaften, March 17–19, 2010. The conference focused on topics - lated to the impact of multicore and coprocessor technologies in science and for large-scale applications in an interdisciplinary environment. The conference was funded by the Heidelberger Akademie der Wissenschaften and placed emphasis on the support and advancement of young scientists. The aim of the conference was to bring together leading experts as well as motivated young researchers in order to discuss, recent developments, the present status of the ?eld, and its future prospects the exchange of ideas, in a pleasant atmosphere that stimulates. It was the designated goal to address current issues including mathematical modeling, design of parallel algorithms, aspects of microprocessor architecture, parallel programming languages, c- pilers, hardware-aware computing, heterogeneous platforms, emerging archit- tures, tools, performance tuning, and requirements for large-scale applications. Thisbroadrangeofissuesisre?ectedbythepresentconferenceproceedings.The results of the presented research papers clearly show the potential of emerging technologiesintheareaofmulticoreandmanycoreprocessorsthatarepavingthe way towards personal supercomputing. However, many issues related to parallel programmingenvironments, developmentof portable and future-proof concepts, and the design of scalable and manycore-ready algorithms still need to be - dressed in future research. Some of these points are the subject of the presented papers.
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accelerator adaptation opportunity algorithm application architectures backend bandwidth benchmark Berlin Heidelberg 2010 boundaries cache access Cell processor CellSs centers cluster computing conﬁguration controller cores CUDA dataset deﬁned diﬀerent double precision eﬀect eﬃcient equation evaluation exceptional disturbances execution Facing the Multicore-Challenge ﬁnd ﬁrst ﬂow ﬂuid FPGA function Gauß-Seidel Germany GFlop/s GPGPU graphics cards graphics processing units grid hardware implementation input Intel interaction k-means kernels latency lattice locality assessment memory Metropolis mod2am multi-core CPUs multigrid method Nehalem node number of activated NVIDIA Nvidia Tesla oﬀers OpenCL OpenMP optimized parallel parameters performance pipeline pixels Potts model PRACE problem projection proposed scheme queueing network RapidMind ray casting real-time runtime SaM-Memory SaM-Requester sampling period scientiﬁc segmentation sequential SIMD single precision solver sort speciﬁc speedup SPEs SPUs stencil Tesla thread aﬃnity throughput vector volume rendering way-adaptable cache workﬂow Xilinx