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- Brad H McRae, Brett G Dickson, Timothy H Keitt, Viral B Shah
- Ecology
- 2008

Connectivity among populations and habitats is important for a wide range of ecological processes. Understanding, preserving, and restoring connectivity in complex landscapes requires connectivity models and metrics that are reliable, efficient, and process based. We introduce a new class of ecological connectivity models based in electrical circuit theory.… (More)

- Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
- ArXiv
- 2012

Dynamic languages have become popular for scientific computing. They are generally considered highly productive, but lacking in performance. This paper presents Julia, a new dynamic language for technical computing, designed for performance from the beginning by adapting and extending modern programming language techniques. A design based on generic… (More)

- Jeff Bezanson, Alan Edelman, Stefan Karpinski, Viral B. Shah
- SIAM Review
- 2017

Bridging cultures that have often been distant, Julia combines expertise from the diverse fields of computer science and computational science to create a new approach to numerical computing. Julia is designed to be easy and fast. Julia questions notions generally held as “laws of nature” by practitioners of numerical computing: 1. High-level dynamic… (More)

- Viral B. Shah, Brad McRae
- 2008

The modeling of ecological connectivity across networks and landscapes is an active research area that spans the disciplines of ecology, conservation, and population genetics. Recently, concepts and algorithms from electrical circuit theory have been adapted to address these problems. The approach is based on linkages between circuit and random walk… (More)

Traditionally, the field of scientific computing has been dominated by numerical methods. However, modern scientific codes often combine numerical methods with combinatorial methods. Sorting, a widely studied problem in computer science, is an important primitive for combinatorial scientific computing. As high performance computers become more affordable… (More)

An Interactive System for Combinatorial Scientific Computing with an Emphasis on Programmer Productivity

- Viral B. Shah, Alan Edelman, Stefan Karpinski, Jeff Bezanson, Jeremy Kepner
- 2013 IEEE High Performance Extreme Computing…
- 2013

A linear algebraic approach to graph algorithms that exploits the sparse adjacency matrix representation of graphs can provide a variety of benefits. These benefits include syntactic simplicity, easier implementation, and higher performance. One way to employ linear algebra techniques for graph algorithms is to use a broader definition of matrix and vector… (More)

Sparse matrices are a key data structure for implementing graph algorithms using linear algebra. This chapter reviews and evaluates storage formats for sparse matrices and their impact on primitive operations. We present complexity results of these operations on different sparse storage formats both in the random access memory (RAM) model and in the… (More)

- Jeff Bezanson, Jiahao Chen, Stefan Karpinski, Viral B. Shah, Alan Edelman
- ARRAY@PLDI
- 2014

Arrays are such a rich and fundamental data type that they tend to be built into a language, either in the compiler or in a large low-level library. Defining this functionality at the user level instead provides greater flexibility for application domains not envisioned by the language designer. Only a few languages, such as C++ and Haskell, provide the… (More)

Recently, there has been considerable debate on redefining Indian Standard Time (IST). The suggestions include splitting the country into two timezones, while perhaps introducing daylight saving time (DST). We argue that the IST should remain unchanged. The arguments are centred around India’s geography, nation building and practical concerns. The most… (More)