Biological systems encompass complexity that far surpasses many artificial systems.
Modeling and simulation of large and complex biochemical pathways is a computationally …

The MapReduce framework proposed by Google to process large data sets is an efficient
framework used in many areas, such as social network, scientific research, electronic …

In most of the GPU kernel programs, the synchronization statements are inserted manually
by the programmers, which is very labor intensive, and error-prone. In this paper, we …

Biological pathways typically consist of upto hundreds of reacting chemical species and
reactions within a biological system. Modeling and simulation of biological pathways in …

The existence of phenotypic heterogeneity in single-species bacterial biofilms is well-
established in the published literature. However, the modeling of population dynamics in …

General purpose GPU (GPGPU) is an effective many-core architecture that can yield high
throughput for many scientific applications with thread-level parallelism. However, several …

Biological pathways typically consist of dozens of reacting chemical species and hundreds
of equations describing reactions within the biological system. Modeling and simulation of …

General purpose GPU (GPGPU) is an effective many-core architecture that can yield high
throughput for many scientific applications with thread-level parallelism. However, several …

We introduce a system for visual analysis of news articles, emails, GPS tracking data,
financial transactions and streaming micro-blog data. This system was developed in …

Computational models have become an essential tool in engineering and science. Modeling
and simulation platforms are being used to describe complex systems where the user builds …