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Research overview	Using Advanced MPI	Edited volumes

2018

NIPS'18	[1] Tal Ben-Nun, Alice Shoshana Jakobovits, Torsten Hoefler:
		Neural Code Comprehension: A Learnable Representation of Code Semantics In Advances in Neural Information Processing Systems 31, presented in Montreal, Canada, Curran Associates, Inc., Dec. 2018,

NIPS'18	[2] Dan Alistarh, Torsten Hoefler, Mikael Johansson, Sarit Khirirat, Nikola Konstantinov, Cedric Renggli:
		The Convergence of Sparsified Gradient Methods In Advances in Neural Information Processing Systems 31, presented in Montreal, Canada, Curran Associates, Inc., Dec. 2018,

PACT'18	[3] M. Besta, D. Stanojevic, T. Zivic, J. Singh, M. Hoerold, T. Hoefler:
		Log(Graph): A Near-Optimal High-Performance Graph Representation presented in Limassol, Cyprus, ACM, Nov. 2018, Accepted at the 27th International Conference on Parallel Architectures and Compilation (PACT'18)

SC18	[4] Heng Lin, Xiaowei Zhu, Bowen Yu, Xiongchao Tang, Wei Xue, Wenguang Chen, Lufei Zhang, Torsten Hoefler, Xiaosong Ma, Xin Liu, Weimin Zheng, Jingfang Xu:
		ShenTu: Processing Multi-Trillion Edge Graphs on Millions of Cores in Seconds In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC18) - Gordon Bell Award Finalist, presented in Denver, CO, USA, ACM, Nov. 2018,

CACM	[5] R. Gerstenberger, M. Besta, T. Hoefler:
		Enabling Highly-Scalable Remote Memory Access Programming with MPI-3 One Sided In Communications of the ACM, ACM, Oct. 2018, Research Highlights

Cluster'18	[6] Y. Oyama, T. Ben-Nun, T. Hoefler, S. Matsuoka:
		Accelerating Deep Learning Frameworks with Micro-batches presented in Belfast, UK, IEEE, Sep. 2018, To appear in IEEE International Conference on Cluster Computing (Cluster'18)

Cluster'18	[7] Alexandru Calotoiu, Alexander Graf, Torsten Hoefler, Daniel Lorenz, Sebastian Rinke, Felix Wolf:
		Lightweight Requirements Engineering for Exascale Co-design presented in Belfast, UK, IEEE, Sep. 2018, To appear in IEEE International Conference on Cluster Computing (Cluster'18)

arXiv	[8] Maciej Besta, Torsten Hoefler:
		Survey and Taxonomy of Lossless Graph Compression and Space-Efficient Graph Representations CoRR. Vol abs/1806.01799, Jun. 2018,

GMD	[9] O. Fuhrer, T. Chadha, T. Hoefler, G. Kwasniewski, X. Lapillonne, D. Leutwyler, D. Luethi, C. Osuna, C. Schaer, T. C. Schulthess, H. Vogt:
		Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0 Geoscientific Model Development. Vol 11, Nr. 4, Copernicus Publications, May 2018,

EuroSys' 18	[10] K. Taranov, G. Alonso, T. Hoefler:
		Fast and strongly-consistent per-item resilience in key-value stores ISBN: 978-1-4503-5584-1/18/04, Apr. 2018, EuroSys '18: Thirteenth EuroSys Conference 2018, April 23--26, 2018, Porto, Portugal (acceptance rate: 16% (43/262))

IEEE TPDS	[11] Shigang Li, Yunquan Zhang, Torsten Hoefler:
		Cache-Oblivious MPI All-to-All Communications Based on Morton Order IEEE Transactions on Parallel and Distributed Systems (TPDS). Vol 29, Nr. 3, IEEE, Mar. 2018,

ASPLOS'18	[12] M. Besta, S. M. Hassan, S. Yalamanchili, R. Ausavarungnirun, O. Mutlu, T. Hoefler:
		Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability Mar. 2018, Accepted at the 23rd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'18)

PPoPP'18	[13] Lukas Gianinazzi, Pavel Kalvoda, Alessandro De Palma, Maciej Besta, Torsten Hoefler:
		Communication-Avoiding Parallel Minimum Cuts and Connected Components Feb. 2018, Accepted at The ACM Conference Principles and Practice of Parallel Programming 2018 (PPoPP'18) (acceptance rate: 20% (28/138))

PPoPP'18	[14] J. de Fine Licht, M. Blott, T. Hoefler:
		Designing scalable FPGA architectures using high-level synthesis In Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, presented in Vienna, Austria, pages 403--404, ACM, ISBN: 978-1-4503-4982-6, Feb. 2018,

arXiv	[15] T. Ben-Nun, T. Hoefler:
		Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis CoRR. Vol abs/1802.09941, Feb. 2018,

VMCAI	[16] Cedric Baumann, Andrei Marian Dan, Yuri Meshman, Torsten Hoefler, Martin Vechev:
		Automatic Verification of RMA Programs via Abstraction Extrapolation Springer International Publishing, Feb. 2018,

Tsinghua	[17] T. Hoefler:
		Performance Modeling for Future Computing Technologies (Presentation) Jun. 2018, Invited talk at 60 years of CS @ Tsinghua celebration

HPCAC	[18] T. Hoefler:
		Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis (Presentation) Apr. 2018, Keynote at Swiss HPC Advisory Council Conference 2018

SOS'18	[19] T. Hoefler:
		Performance Portability - An Oxymoron? (Presentation) presented in Kona, HI, USA, Mar. 2018, Invited talk at SOS'18 Workshop

Multicore @ Siemens	[20] T. Hoefler:
		Developing high-performance software, from modeling to programming (Presentation) presented in Nuremberg, Germany, Feb. 2018, Invited opening presentation at the Multicore@Siemens conference

HiPINEB @ HPCA'18	[21] T. Hoefler:
		The three L's in modern high-performance networking: low latency, low cost, low processing load (Presentation) presented in Vienna, Austria, Feb. 2018, Keynote at the HiPINEB workshop at HPCA'18