Search Results - "2016 IEEE 23rd International Conference on High Performance Computing (HiPC)"

Tensor Contractions with Extended BLAS Kernels on CPU and GPU by Yang Shi, Niranjan, U. N., Anandkumar, Animashree, Cecka, Cris

“…Tensor contractions constitute a key computational ingredient of numerical multi-linear algebra. However, as the order and dimension of tensors grow, the time…”
Get full text

Data Elevator: Low-Contention Data Movement in Hierarchical Storage System by Bin Dong, Byna, Suren, Kesheng Wu, Prabhat, Johansen, Hans, Johnson, Jeffrey N., Keen, Noel

“…Hierarchical storage subsystems that include multiple layers of burst buffers (BB) and disk-based parallel file systems (PFS), are becoming an essential part…”
Get full text

A Low-Cost Multi-failure Resilient Replication Scheme for High Data Availability in Cloud Storage by Jinwei Liu, Haiying Shen

“…Replication is a common approach to enhance data availability in cloud storage systems. Previously proposed replication schemes cannot effectively handle both…”
Get full text

DCRoute: Speeding up Inter-Datacenter Traffic Allocation while Guaranteeing Deadlines by Noormohammadpour, Mohammad, Raghavendra, Cauligi S., Rao, Sriram

“…Datacenters provide the infrastructure for cloud computing services used by millions of users everyday. Many such services are distributed over multiple…”
Get full text

Balancing Locality and Concurrency: Solving Sparse Triangular Systems on GPUs by Picciau, Andrea, Inggs, Gordon E., Wickerson, John, Kerrigan, Eric C., Constantinides, George A.

“…Many numerical optimisation problems rely on fast algorithms for solving sparse triangular systems of linear equations (STLs). To accelerate the solution of…”
Get full text

Fast Parallel Operations on Search Trees by Akhremtsev, Yaroslav, Sanders, Peter

“…Using (a, b)-trees as an example, we show how to perform a parallel split with logarithmic latency and parallel join, bulk updates, intersection, union (or…”
Get full text

Genomes Galore: Big Data Challenges in the Life Sciences by Aluru, Srinivas

“…While the big data revolution in the consumer, business, and social networks domains is widely known, a similar revolution is taking place in the sciences and…”
Get full text

China's HPC Development in the Next 5 Years by Qian, Depei

“…After a brief review of HPC research and development in China's high-tech R&D program, this talk will introduce the plan of HPC development under the new Key…”
Get full text

Toward Extreme-Scale Processor Chips by Torrellas, Josep

“…As transistor sizes continue to scale, we are about to witness stunning levels of chip integration, with 1,000 cores on a single die, and increasing levels of…”
Get full text

Optimization of Brain Mobile Interface Applications Using IoT by Sadeghi, Koosha, Banerjee, Ayan, Sohankar, Javad, Gupta, Sandeep K. S.

“…Pervasive Brain Mobile Interfaces (BMoI) can be made more accurate and time efficient when knowledge from other sensors and computation power from available…”
Get full text

Efficient Data Redistribution to Speedup Big Data Analytics in Large Systems by Long Cheng, Tao Li

“…The performance of parallel data analytics systems becomes increasingly important with the rise of Big Data. An essential operation in such environment is…”
Get full text

Phoenix: Memory Speed HPC I/O with NVM by Fernando, Pradeep, Kannan, Sudarsun, Gavrilovska, Ada, Schwan, Karsten

“…In order to bridge the gap between the applications' I/O needs on future exascale platforms, and thecapabilities of conventional memory and storage…”
Get full text

Load Balancing for Molecular Dynamics Simulations on Heterogeneous Architectures by Seckler, Steffen, Tchipev, Nikola, Bungartz, Hans-Joachim, Neumann, Philipp

“…Upcoming exascale compute systems are expected to be built from heterogeneous hardware architectures. According to this trend, there exist various methods to…”
Get full text

Mizan-RMA: Accelerating Mizan Graph Processing Framework with MPI RMA by Mingzhe Li, Xiaoyi Lu, Hamidouche, Khaled, Jie Zhang, Panda, Dhabaleswar K.

“…The MPI programming model has been used by several graph processing systems. Out of these systems, only MPI two-sided programming model is used for…”
Get full text

Scalable Parallel Algorithms for Shared Nearest Neighbor Clustering by Kumari, Sonal, Maurya, Saurabh, Goyal, Poonam, Balasubramaniam, Sundar S., Goyal, Navneet

“…Clustering is a popular data mining technique which discovers structure in unlabeled data by grouping objects together on the basis of a similarity criterion…”
Get full text

Using Message Logs and Resource Use Data for Cluster Failure Diagnosis by Chuah, Edward, Jhumka, Arshad, Browne, James C., Gurumdimma, Nentawe, Narasimhamurthy, Sai, Barth, Bill

“…Failure diagnosis for large compute clusters using only message logs is known to be incomplete. Recent availability of resource use data provides another…”
Get full text

CMT-Bone - A Proxy Application for Compressible Multiphase Turbulent Flows by Banerjee, Tania, Hackl, Jason, Shringarpure, Mrugesh, Islam, Tanzima, Balachandar, S., Jackson, Thomas, Ranka, Sanjay

“…CMT-bone is a proxy app of CMT-nek, which is a solver of the compressible Navier-Stokes equations for multiphase flows being developed at University of…”
Get full text

Performance Prediction of Parallel Applications Based on Small-Scale Executions by Escobar, Rodrigo, Boppana, Rajendra V.

“…Predicting the execution time of parallel applications in High Performance Computing (HPC) clusters has served different objectives, including helping…”
Get full text

Scheduling of Linear Algebra Kernels on Multiple Heterogeneous Resources by Beaumont, Olivier, Cojean, Terry, Eyraud-Dubois, Lionel, Guermouche, Abdou, Kumar, Suraj

“…In this paper, we consider task-based dense linear algebra applications on a single heterogeneous node which contains regular CPU cores and a set of GPU…”
Get full text

Efficient Parallel Ear Decomposition of Graphs with Application to Betweenness-Centrality by Pachorkar, Charudatt, Chaitanya, Meher, Kothapalli, Kishore, Bera, Debajyoti

“…Parallel graph algorithms continue to attract a lot of research attention given their applications to several fields of sciences and engineering. Efficient…”
Get full text