More Like this

1. Vector autoregression and envelope model: Vector autoregression and envelope model

   https://doi.org/10.1002/sta4.203  

   Wang, Lei ; Ding, Shanshan ( January 2018 , Stat)

   null (Ed.)
2. Mode Vector Modulation

   Roudas, Ioannis Kwapisz ( September 2021 , European Conference on Optical Communication)

   null (Ed.)

   We propose a new energy-efficient, short-haul, multidimensional modulation using spatial degrees of freedom in SDM fibers to create well-separated points in the generalized Stokes space. We study the transceiver architecture, geometric constellation shaping, bit-to-symbol mapping, and the performance of the optically-preamplified direct-detection receiver. 

   more » « less
3. Simplicial computation: A methodology to compute vector–vector multiplications with reduced complexity

   https://doi.org/10.1002/cta.3128  

   Julian, P. ; Andreou, A. G. ; Villemur, M. ; Rodriguez, N. ( November 2021 , International Journal of Circuit Theory and Applications)
4. MPI-Vector-IO: Parallel I/O and Partitioning for Geospatial Vector Data

   https://doi.org/10.1145/3225058.3225105  

   Puri, Satish ; Paudel, Anmol ; Prasad, Sushil K. ( August 2018 , Proceedings of the 47th International Conference on Parallel Processing (ICPP 2018).)

   In recent times, geospatial datasets are growing in terms of size, complexity and heterogeneity. High performance systems are needed to analyze such data to produce actionable insights in an efficient manner. For polygonal a.k.a vector datasets, operations such as I/O, data partitioning, communication, and load balancing becomes challenging in a cluster environment. In this work, we present MPI-Vector-IO, a parallel I/O library that we have designed using MPI-IO specifically for partitioning and reading irregular vector data formats such as Well Known Text. It makes MPI aware of spatial data, spatial primitives and provides support for spatial data types embedded within collective computation and communication using MPI message-passing library. These abstractions along with parallel I/O support are useful for parallel Geographic Information System (GIS) application development on HPC platforms. Performance evaluation is done on Lustre and GPFS filesystems. MPI-Vector-IO scales well with MPI processes and file size and achieves bandwidth up to 22 GB/s for common spatial data access patterns. We observed that independent file read functions performed better than collective functions in MPI-IO for contiguous access pattern on Lustre. In general, the I/O is improved by one to two orders of magnitude over real-world datasets using up to 1152 CPU cores. Spatial Join query is used as an exemplar to demonstrate an end-to-end application using MPI-Vector-IO. 

   more » « less
5. Vector Approximate Message Passing

   https://doi.org/10.1109/TIT.2019.2916359  

   Rangan, Sundeep ; Schniter, Philip ; Fletcher, Alyson K. ( May 2019 , IEEE Transactions on Information Theory)