PPoPP 2019 Posters

Sat 16 - Wed 20 February 2019 Washington, DC, United States

PPoPP is the premier forum for leading work on all aspects of parallel programming, including theoretical foundations, techniques, languages, compilers, runtime systems, tools, and practical experience. In the context of the symposium, “parallel programming” encompasses work on concurrent and parallel systems (multicore, multi-threaded, heterogeneous, clustered, and distributed systems; grids; datacenters; clouds; and large scale machines). Given the rise of parallel architectures in the consumer market (desktops, laptops, and mobile devices) and data centers, PPoPP is particularly interested in work that addresses new parallel workloads and issues that arise out of extreme-scale applications or cloud platforms, as well as techniques and tools that improve the productivity of parallel programming or work towards improved synergy with such emerging architectures.

Accepted Posters

	Title
	A Distributed Hypervisor for Resource Aggregation Yubin Chen, Zhuocheng Ding, Jin Zhang, Yun Wang, Zhengwei Qi, Haibing Guan
	A GPU Memory Efficient Speed-up Scheme for Training Ultra-deep Neural Networks Jinrong Guo, Wantao Liu, Wang Wang, Qu Lu, Songlin Hu, Jizhong Han, Ruixuan Li
	Accelerating Distributed Stochastic Gradient Descent with Adaptive Periodic Parameter Averaging Peng Jiang, Gagan Agrawal
	Automated Multi-dimensional Elasticity for Streaming Runtimes Xiang Ni, Scott Schneider, Raju Pavuluri, Jonathan Kaus, Kun-Lung Wu
	BASMAT: Bottleneck-Aware Sparse Matrix-Vector Multiplication Auto-Tuning on GPGPUs Athena Elafrou, Georgios Goumas, Nectarios Koziris
	Blockchain Abstract Data Type Emmanuelle Anceaume, Antonella Del Pozzo, Romaric Ludinard, Maria Potop-Butucaru, Sara Tucci-Piergiovanni
	Compiler-assisted Adaptive Program Scheduling in big.LITTLE Systems Marcelo Novaes, Vinícius Petrucci, Abdoulaye Gamatié, Fernando Magno Quintão Pereira
	CuLDA_CGS: Solving Large-scale LDA Problems on GPUs Xiaolong Xie, Eric Liang, Xiuhong Li, Wei Tan
	Exploiting the Input Sparsity to Accelerate Deep Neural Networks Xiao Dong, Lei Liu, Guangli Li, Jiansong Li, Peng Zhao, Xueying Wang, Xiaobing Feng
	GOPipe: A Granularity-Oblivious Programming Framework for Pipelined Stencil Executions on GPU Chanyoung Oh, Zhen ZHENG, Xipeng Shen, Jidong Zhai, Youngmin Yi
	GPOP: A cache and memory-efficient framework for Graph Processing Over Partitions Kartik Lakhotia, Rajgopal Kannan, Sourav Pati, Viktor Prasanna
	GPU-based 3D Cryo-EM Reconstruction with Key-Value Streams Kunpeng Wang, Shizhen Xu, Hongkun Yu, Haohuan Fu, Guangwen Yang
	High-Throughput Image Alignment for Connectomics using Frugal Snap Judgments Tim Kaler, Brian Wheatman, Sarah Wooders
	LOFT: Lock-Free Transactional Data Structures Avner Elizarov, Guy Golan-Gueta, Erez Petrank
	Lock-free Channels for Programming via Communicating Sequential Processes Nikita Koval, Dan Alistarh, Roman Elizarov
	Making Concurrent Algorithms Detectable Naama Ben-David, Guy E. Blelloch, Michal Friedman, Yuanhao Wei
	Managing Application Parallelism via Parallel Efficiency Regulation Sharanyan Srikanthan, Princeton Ferro, Sandhya Dwarkadas, Sayak Chakraborti
	Optimizing Computation-Communication Overlap in Asynchronous Task-Based Programs Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moreto, Martin Schulz, Ramón Beivide, Mateo Valero, Abhinav Bhatele
	Optimizing GPU Programs by Register Demotion Putt Sakdhnagool, Amit Sabne, Rudolf Eigenmann
	Optimizing Graph Processing on GPUs using Approximate Computing Somesh Singh, Rupesh Nasre
	Profiling based out-of-core Hybrid method for large neural networks Yuki Ito, Haruki Imai, Tung Le Duc, Yasushi Negishi, Kiyokuni Kawachiya, Ryo Matsumiya, Toshio Endo
	Scheduling HPC Workloads on Heterogeneous-ISA Architectures Mohamed L. Karaoui, Anthony Carno, Rob Lyerly, Sang-Hoon Kim, Pierre Olivier, Changwoo Min, Binoy Ravindran
	T-thinker: A Task-Centric Distributed Framework For Compute-Intensive Divide-and-Conquer Algorithms Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer Özsu, John C.S. Lui, Weida Tan
	Toward Efficient Architecture-Independent Algorithms for Dynamic Programs Mohammad Mahdi Javanmard, Pramod Ganapathi, Rathish Das, Zafar Ahmad, Stephen Tschudi, Rezaul Chowdhury
	VEBO: A Vertex- and Edge-Balanced Ordering Heuristic to Load Balance Parallel Graph Processing Jiawen Sun, Hans Vandierendonck, Dimitrios Nikolopoulos

Accepted Posters

Tracks

Co-hosted Workshops