With the advent of several accurate and sophisticated statistical algorithms and pipelines for DNA sequence analysis, it is becoming increasingly possible to translate raw sequencing data into biologically meaningful ...

Gradient descent, conjugate gradient, and other iterative algorithms are a powerful class of algorithms; however, they can take a long time for conver- gence. Baseline accelerator designs feature insu cient coverage of ...

This thesis examines nonloop parallelism at both fine and coarse levels of granularity in numerical FORTRAN programs. Measurements of the extent of this functional parallelism in a number of FORTRAN codes are presented, ...

Along with an increase in cyber security concerns for critical infrastructure applications, there is a growing concern and lack of solutions for cyber-based supply chain and device life-cycle threats. The challenge for ...

This work introduces a low-level real-time vehicle simulator with hardware-anywhere-in-the-loop (HAIL) capability. Vehicle dynamics are simulated on a high-performance workstation running a real-time operating system. The ...

We propose a robust framework for clustering data. In practice, data obtained from real measurement devices can be incomplete, corrupted by gross errors, or not correspond to any assumed model. We show that, by properly ...

In the past decade, the popularity of the Internet and digital cameras has led to a flourishing of images and videos. Surveillance videos are increasing explosively with the huge amounts of surveillance cameras. Compared ...

With the end of Dennard scaling, high-performance computing increasingly relies on heterogeneous systems with specialized hardware to improve application performance. This trend has driven up the complexity of high-performance ...