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AsHES 2015 : The Fifth International Workshop on Accelerators and Hybrid Exascale Systems | |||||||||||||||
Link: http://www.mcs.anl.gov/events/workshops/ashes/2015/cfp.php | |||||||||||||||
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Call For Papers | |||||||||||||||
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AsHES 2015 ++ CALL FOR PAPERS =========================================================== The 5th Intl. Workshop on†Accelerators & Hybrid Exascale Systems May 25th, 2015, Hyderabad, India In conjunction with IPDPS 2015 http://www.mcs.anl.gov/events/workshops/ashes/2015 Important Dates: ======================================== Paper Submission:†Jan. 10, 2015 Author Notification:†Feb. 14, 2015 Camera-Ready Deadline:†Feb. 28, 2015 Workshop Scope and Goals: ======================================== As we look beyond the petascale era, accelerator and heterogeneous architectures are expected to play a preeminent role in architecting the largest systems in the world. Future systems may not only offer accelerators (e.g. GPGPU, Intel(R) Xeon Phi(tm), FPGA) and hybrid processors of both lightweight and heavyweight cores (e.g APU, big.LITTLE), but also may use hybrid memory systems equipped with stacked memory and non-volatile memory in addition to regular DRAM. While there is significant interest in these architectures, much of it is an artifact of the hype associated with them. This workshop focuses on understanding the implications of accelerators and heterogeneous designs on the hardware systems, applications, and programming environments of future systems. It seeks to ground accelerator research through studies of application kernels or whole applications on such systems, as well as tools and libraries that improve the performance and productivity of applications on these systems. The goal of this workshop is to bring together researchers and practitioners who are involved in application studies for accelerators and heterogeneous systems, to learn the opportunities and challenges in future design trends for HPC applications and systems. We are soliciting contributions in areas including but not limited to: * Strategies for application behavior characterization and performance optimization for accelerators; * Techniques for optimizing kernels for execution on GPGPU, Intel(R) Xeon Phi(tm), and future heterogeneous platforms; * Models of application performance on heterogeneous and accelerated HPC systems; * Implications of workload characterization in heterogeneous and accelerated architecture design; * Benchmarking and performance evaluation for accelerators; * Tools and techniques to assist application development for accelerators and heterogeneous processors; * System software techniques to abstract application domain-specific functionalities for accelerators. Proceedings and Submission Instructions: ======================================== The proceedings of this workshop will be published electronically together with with IPDPS proceedings via the IEEE Xplore Digital Library. Submitted manuscripts may not exceed 8 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. See the IPDPS website for details and templates. Submission site: https://www.easychair.org/conferences/?conf=ashes15 Journal Special Issue: ======================================== The best papers of AsHES 2015 will be included in a Special Issue on Applications for the Heterogeneous Computing Era of the International Journal of High Performance Computing Applications. Organizers: ======================================== General Chair: Xiaosong Ma, Qatar Computing Research Institute Technical Program Committee: James Dinan (chair), Intel Corporation Wenguang Chen (chair), Tsinghua University Jeff Hammond (publicity), Intel Corporation Rong Ge, Marquette University Hao Wang, Virginia Tech Wenguang Chen, Tsinghua University Fangfang Xia, Argonne National Laboratory Yongpeng Zhang, Stone Ridge Technology Antonio Peña, Argonne National Laboratory Naoya Maruyama, RIKEN AICS Suren Byna, Lawrence Berkeley National Laboratory Bronis de Supinski, Lawrence Livermore National Laboratory Sriram Krishnamoorthy, Pacific Northwest National Laboratory Huimin Cui, Institute of Computing Technology, CAS Guangyu Sun, Peking University Siva Kumar Sastry Hari, NVIDIA Corporation Xipeng Shen, North Carolina State University Kelly Shaw, University of Richmond Khaled Hamidouche, The Ohio State University Gabriele Jost, Intel Corporation |
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