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ISPASS 2016: Uppsala, Sweden
- 2016 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2016, Uppsala, Sweden, April 17-19, 2016. IEEE Computer Society 2016, ISBN 978-1-5090-1953-3
- Erik Hagersten:
Message from the general chair. vi - Andreas Moshovos:
Message from the program chair. vii
Session I: Best Paper Candidates
- Georgios Smaragdos, Georgios Chatzikonstantis, Sofia Nomikou, Dimitrios Rodopoulos, Ioannis Sourdis, Dimitrios Soudris, Chris I. De Zeeuw, Christos Strydis:
Performance analysis of accelerated biophysically-meaningful neuron simulations. 1-11 - Shoaib Akram, Jennifer B. Sartor, Lieven Eeckhout:
DVFS performance prediction for managed multithreaded applications. 12-23 - Manjunath Shevgoor, Rajeev Balasubramonian, Niladrish Chatterjee, Jung-Sik Kim:
Addressing service interruptions in memory with thread-to-rank assignment. 24-35
Session II: System and Workload Characterization/Optimizations
- Michael A. Laurenzano, Ananta Tiwari, Allyson Cauble-Chantrenne, Adam Jundt, William A. Ward Jr., Roy L. Campbell, Laura Carrington:
Characterization and bottleneck analysis of a 64-bit ARMv8 platform. 36-45 - Heiner Giefers, Peter W. J. Staar, Costas Bekas, Christoph Hagleitner:
Analyzing the energy-efficiency of sparse matrix multiplication on heterogeneous systems: A comparative study of GPU, Xeon Phi and FPGA. 46-56 - Yanpei Liu, Guilherme Cox, Qingyuan Deng, Stark C. Draper, Ricardo Bianchini:
FastCap: An efficient and fair algorithm for power capping in many-core systems. 57-68
Session III: Reliability
- Athanasios Chatzidimitriou, Dimitris Gizopoulos:
Anatomy of microarchitecture-level reliability assessment: Throughput and accuracy. 69-78 - Renji Thomas, Naser Sedaghati, Radu Teodorescu:
EmerGPU: Understanding and mitigating resonance-induced voltage noise in GPU architectures. 79-89 - Sotiris Tselonis, Dimitris Gizopoulos:
GUFI: A framework for GPUs reliability assessment. 90-100
Session IV: Workloads
- Christos Sakalis, Carl Leonardsson, Stefanos Kaxiras, Alberto Ros:
Splash-3: A properly synchronized benchmark suite for contemporary research. 101-111 - Tatsuhiro Chiba, Tamiya Onodera:
Workload characterization and optimization of TPC-H queries on Apache Spark. 112-121 - Tapti Palit, Yongming Shen, Michael Ferdman:
Demystifying cloud benchmarking. 122-132 - Gabriel Southern, Jose Renau:
Analysis of PARSEC workload scalability. 133-142
Session V: Poster Presentations
- Mohammad Arjomand, Amin Jadidi, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das:
MLC PCM main memory with accelerated read. 143-144 - Lei Wang, Rui Ren, Jianfeng Zhan, Zhen Jia:
Characterization and architectural implications of big data workloads. 145-146 - Radhika Jagtap, Stephan Diestelhorst, Andreas Hansson:
Elastic traces for fast and accurate system performance exploration. 147-148 - Nikos Nikoleris, Andreas Sandberg, Erik Hagersten, Trevor E. Carlson:
CoolSim: Eliminating traditional cache warming with fast, virtualized profiling. 149-150 - Hao Luo, Jacob Brock, Pengcheng Li, Chen Ding, Chencheng Ye:
Compositional model of coherence and NUMA effects for optimizing thread and data placement. 151-152 - Maria Malik, Avesta Sasan, Rajiv V. Joshi, Setareh Rafatirah, Houman Homayoun:
Characterizing Hadoop applications on microservers for performance and energy efficiency optimizations. 153-154 - Vi Ngoc-Nha Tran, Brendan Barry, Phuong Hoai Ha:
RTHpower: Accurate fine-grained power models for predicting race-to-halt effect on ultra-low power embedded systems. 155-156 - Martin K. Brown, Zachary Yannes, Michael Lustig, Mazdak Sanati, Sally A. McKee, Gary S. Tyson, Steven K. Reinhardt:
Agave: A benchmark suite for exploring the complexities of the Android software stack. 157-158 - Narges Shahidi, Mohammad Arjomand, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das:
Storage consolidation: Not always a panacea, but can we ease the pain? 159-160
Session VI: Understanding CPU and GPU Integration and Systems
- Ján Veselý, Arkaprava Basu, Mark Oskin, Gabriel H. Loh, Abhishek Bhattacharjee:
Observations and opportunities in architecting shared virtual memory for heterogeneous systems. 161-171 - Johnathan Alsop, Matthew D. Sinclair, Rakesh Komuravelli, Sarita V. Adve:
GSI: A GPU Stall Inspector to characterize the sources of memory stalls for tightly coupled GPUs. 172-182 - Saoni Mukherjee, Yifan Sun, Paul Blinzer, Amir Kavyan Ziabari, David R. Kaeli:
A comprehensive performance analysis of HSA and OpenCL 2.0. 183-193
Session VII: Designs and Design Generators
- Farzad Fatollahi-Fard, David Donofrio, George Michelogiannakis, John Shalf:
OpenSoC Fabric: On-chip network generator. 194-203 - Jeff Bush, Mohammad A. Khasawneh, Khaled Z. Mahmoud, Timothy N. Miller:
NyuziRaster: Optimizing rasterizer performance and energy in the Nyuzi open source GPU. 204-213 - Rangeen Basu Roy Chowdhury, Anil K. Kannepalli, Sungkwan Ku, Eric Rotenberg:
AnyCore: A synthesizable RTL model for exploring and fabricating adaptive superscalar cores. 214-224 - Xubin Tan, Jaume Bosch, Daniel Jiménez-González, Carlos Álvarez-Martínez, Eduard Ayguadé, Mateo Valero:
Performance analysis of a hardware accelerator of dependence management for task-based dataflow programming models. 225-234
Session VIII: Mobile and Cloud
- Songchun Fan, Benjamin C. Lee:
Evaluating asymmetric multiprocessing for mobile applications. 235-244 - Minho Ju, Hyeonggyu Kim, Soontae Kim:
MofySim: A mobile full-system simulation framework for energy consumption and performance analysis. 245-254 - René de Jong, Andreas Sandberg:
NoMali: Simulating a realistic graphics driver stack using a stub GPU. 255-262 - Mark Gottscho, Sriram Govindan, Bikash Sharma, Mohammed Shoaib, Puneet Gupta:
X-Mem: A cross-platform and extensible memory characterization tool for the cloud. 263-273
Session IX: Tools and Methodologies
- Andi Drebes, Antoniu Pop, Karine Heydemann, Albert Cohen:
Interactive visualization of cross-layer performance anomalies in dynamic task-parallel applications and systems. 274-283 - Berkin Ilbeyi, Christopher Batten:
JIT-assisted fast-forward embedding and instrumentation to enable fast, accurate, and agile simulation. 284-295 - Thomas Grass, Alejandro Rico, Marc Casas, Miquel Moretó, Eduard Ayguadé:
TaskPoint: Sampled simulation of task-based programs. 296-306 - Vignesh Adhinarayanan, Wu-chun Feng:
An automated framework for characterizing and subsetting GPGPU workloads. 307-317
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