Argo NodeOS: Toward Unified Resource Management for Exascale
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Maya Gokhale | Kamil Iskra | Peter H. Beckman | Matthieu Dreher | Roberto Gioiosa | Swann Perarnau | Judicael A. Zounmevo | Kazutomo Yoshii | Brian C. Van Essen | B. V. Essen | P. Beckman | K. Iskra | Kazutomo Yoshii | M. Gokhale | R. Gioiosa | Matthieu Dreher | Swann Perarnau
[1] Karsten Schwan,et al. FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics , 2013, 2013 IEEE 27th International Symposium on Parallel and Distributed Processing.
[2] J. Kubiatowicz,et al. Resource Management in the Tessellation Manycore OS ∗ , 2010 .
[3] Edward David Moreno,et al. Performance Analysis of LXC for HPC Environments , 2015, 2015 Ninth International Conference on Complex, Intelligent, and Software Intensive Systems.
[4] Mateo Valero,et al. Evaluating the Impact of TLB Misses on Future HPC Systems , 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium.
[5] Bruno Raffin,et al. A Flexible Framework for Asynchronous in Situ and in Transit Analytics for Scientific Simulations , 2014, 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.
[6] Maya Gokhale,et al. Multi-threaded streamline tracing for data-intensive architectures , 2014, 2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV).
[7] Maya Gokhale,et al. DI-MMAP—a scalable memory-map runtime for out-of-core data-intensive applications , 2015, Cluster Computing.
[8] Scott Pakin,et al. The Case of the Missing Supercomputer Performance: Achieving Optimal Performance on the 8, 192 Processors of ASCI Q , 2003, SC.
[9] Kamil Iskra,et al. Performance and Scalability Evaluation of ‘Big Memory’ on Blue Gene Linux , 2011, Int. J. High Perform. Comput. Appl..
[10] Susan Coghlan,et al. Operating system issues for petascale systems , 2006, OPSR.
[11] Susan Coghlan,et al. Benchmarking the effects of operating system interference on extreme-scale parallel machines , 2008, Cluster Computing.
[12] Rolf Riesen,et al. SUNMOS for the Intel Paragon - a brief user`s guide , 1994 .
[13] Peter A. Dinda,et al. Palacios and Kitten: New high performance operating systems for scalable virtualized and native supercomputing , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS).
[14] Franck Cappello,et al. Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O , 2012, 2012 IEEE International Conference on Cluster Computing.
[15] Rolf Riesen,et al. mOS: an architecture for extreme-scale operating systems , 2014, ROSS@ICS.
[16] R. Gioiosa,et al. Analysis of system overhead on parallel computers , 2004, Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, 2004..
[17] Yutaka Ishikawa,et al. Partially Separated Page Tables for Efficient Operating System Assisted Hierarchical Memory Management on Heterogeneous Architectures , 2013, 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing.
[18] D. Jacobsen,et al. Contain This, Unleashing Docker for HPC , 2015 .
[19] Jeremy S. Meredith,et al. Parallel in situ coupling of simulation with a fully featured visualization system , 2011, EGPGV '11.
[20] Mark Giampapa,et al. Experiences with a Lightweight Supercomputer Kernel: Lessons Learned from Blue Gene's CNK , 2010, 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis.
[21] Rolf Riesen,et al. Designing and implementing lightweight kernels for capability computing , 2009 .
[22] Francisco J. Cazorla,et al. A Quantitative Analysis of OS Noise , 2011, 2011 IEEE International Parallel & Distributed Processing Symposium.
[23] Klaus Schulten,et al. Fast Visualization of Gaussian Density Surfaces for Molecular Dynamics and Particle System Trajectories , 2012, EuroVis.
[24] Kevin Klues,et al. Improving per-node efficiency in the datacenter with new OS abstractions , 2011, SoCC.
[25] César A. F. De Rose,et al. Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments , 2013, 2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing.
[26] Ron Brightwell,et al. Characterizing application sensitivity to OS interference using kernel-level noise injection , 2008, HiPC 2008.
[27] Allen D. Malony,et al. The ghost in the machine: observing the effects of kernel operation on parallel application performance , 2007, Proceedings of the 2007 ACM/IEEE Conference on Supercomputing (SC '07).
[28] Peter M. Kasson,et al. GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit , 2013, Bioinform..
[29] Douglas Thain,et al. Qthreads: An API for programming with millions of lightweight threads , 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.
[30] LarssonPer,et al. GROMACS 4.5 , 2013 .
[31] Karsten Schwan,et al. Just in time: adding value to the IO pipelines of high performance applications with JITStaging , 2011, HPDC '11.
[32] Yoonho Park,et al. FusedOS: Fusing LWK Performance with FWK Functionality in a Heterogeneous Environment , 2012, 2012 IEEE 24th International Symposium on Computer Architecture and High Performance Computing.
[33] Alex Brooks,et al. Argobots: A Lightweight Low-Level Threading and Tasking Framework , 2018, IEEE Transactions on Parallel and Distributed Systems.
[34] Brian Kocoloski,et al. HPMMAP: Lightweight Memory Management for Commodity Operating Systems , 2014, 2014 IEEE 28th International Parallel and Distributed Processing Symposium.
[35] Sameer Kumar,et al. Evaluating the effect of replacing CNK with linux on the compute-nodes of blue gene/l , 2008, ICS '08.
[36] Ray W. Grout,et al. Ultrascale Visualization In Situ Visualization for Large-Scale Combustion Simulations , 2010 .
[37] John Shalf,et al. The International Exascale Software Project roadmap , 2011, Int. J. High Perform. Comput. Appl..
[38] Mateo Valero,et al. Designing OS for HPC Applications: Scheduling , 2010, 2010 IEEE International Conference on Cluster Computing.