By Frank Hannig, João M.P. Cardoso, Thilo Pionteck, Dietmar Fey, Wolfgang Schröder-Preikschat, Jürgen Teich
This e-book constitutes the complaints of the twenty ninth overseas convention on structure of Computing structures, ARCS 2016, held in Nuremberg, Germany, in April 2016.
The 29 complete papers provided during this quantity have been conscientiously reviewed and chosen from 87 submissions. They have been prepared in topical sections named: configurable and in-memory accelerators; network-on-chip and safe computing architectures; cache architectures and protocols; mapping of purposes on heterogeneous architectures and real-time initiatives on multiprocessors; all approximately time: timing, tracing, and function modeling; approximate and energy-efficient computing; allocation: from stories to FPGA modules; natural computing platforms; and reliability features in NoCs, caches, and GPUs.
Read or Download Architecture of Computing Systems -- ARCS 2016: 29th International Conference, Nuremberg, Germany, April 4-7, 2016, Proceedings PDF
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Additional info for Architecture of Computing Systems -- ARCS 2016: 29th International Conference, Nuremberg, Germany, April 4-7, 2016, Proceedings
1–10, March 2009 7. : Floating point units eﬃciency in multi-core processors. In: Proceedings, ARCS 2015 - The 28th International Conference on Architecture of Computing Systems, pp. 1–8, March 2015 8. 0 based interconnect for extensible smart memory cubes. In: Proceedings of the 2015 Design, Automation and Test in Europe Conference and Exhibition, DATE 2015, pp. 1317– 1322. EDA Consortium, San Jose, CA, USA (2015) 9. : LPDDR2 memory controllerdesign in a 28 nm process. pdf 10. : Improved power modeling of DDR SDRAMs.
1. Experimental results and conclusions are presented in Sects. 4 and 5. 2 Related Works The design space for near memory computation is enormous, and several different concerns need to be addressed such as the micro-architecture of the PIM processor, memory management scheme, and communication mechanisms with the host . In  a Coarse-grain Reconﬁurable Accelerator (CGRA) is located on a separate die and connected to the DRAM dies through TSVs. 6X performance gain for Big Data applications are reported.
An accurate simulation environment called SMCSim has been developed, along with a full featured software stack. The key contribution of this work is full system analysis of near memory computation including high-level software to low-level ﬁrmware and hardware layers, considering oﬄoading and dynamic overheads caused by the operating system (OS), cache coherence, and memory management. A zero-copy pointer passing mechanism has been devised to allow low overhead data sharing between the host and the PIM.
Architecture of Computing Systems -- ARCS 2016: 29th International Conference, Nuremberg, Germany, April 4-7, 2016, Proceedings by Frank Hannig, João M.P. Cardoso, Thilo Pionteck, Dietmar Fey, Wolfgang Schröder-Preikschat, Jürgen Teich