Congratulations to Chad for successfully defending this PhD proposal titled “Accelerator Architecture Modeling with a Pipeline-Oriented Hardware Description Language” !
By exploiting the equivalence between multithreaded software and pipelined hardware, we can quickly construct, model, and analyze a range of both fixed function and instruction set accelerators well-suited to the energy constraints of modern architectures. This is reached by (1) realization of a domain specific language that provides for the high-productivity, high-performance modeling of pipelined accelerators by exploiting the equivalence of these accelerators with multithreaded software execution, (2) implementation of a range of fixed-function and general purpose accelerators, (3)...Read More
Congratulations to Karthik for successfully defending his PhD proposal titled “Control Theoretic Approaches for the Coordinated Management of Heterogeneous Components in IoT Devices” !
The objective of the proposed research is to apply control theoretic techniques to IoT devices with diverse heterogeneous components. The availability of smart mobile devices based on low-power System-on-Chips (SoC), together with cloud based services, has enabled the emergence of IoT as the next big technological revolution. This research work focuses on balancing performance and energy consumption of SoCs subject to thermal constraints. To that end, this thesis addresses the following: (1) Characterization of power, performance and energy consumption of different policies implemented at...Read More
Congratulations to Eric Anger on successfully defending his thesis titled, “Application-level Modeling and Analysis of Time and Energy for Optimizing Power-constrained Extreme-scale Applications”.
Eric Anger successfully defended his PhD dissertation titled, “Application-level Modeling and Analysis of Time and Energy for Optimizing Power-constrained Extreme-scale Applications” on Nov 9, 2016. Congratulations Dr. Anger! Abstract: The objective of the proposed research is to create a methodology for the modeling and characterization of extreme-scale applications operating within power limitations in order to guide optimization. It is likely that forthcoming high-performance machines will operate with stringent power caps, tying the performance of the systems to their...Read More
Congratulations to Jin Wang on successfully defending her PhD thesis titled “Acceleration and Optimization of Dynamic Parallelism for Irregular Applications on GPUs”!
Jin Wang successfully defended her thesis titled “Acceleration and Optimization of Dynamic Parallelism for Irregular Applications on GPUs” on Nov 7, 2016. Congratulations Dr. Wang!!! Abstract: The objective of this thesis is the development, implementation and optimization of a GPU execution model extension that efficiently supports time-varying, nested, fine-grained dynamic parallelism occurring in the irregular data intensive applications. These dynamically formed pockets of structured parallelism can utilize the recently introduced device-side nested kernel launch capabilities...Read More
Eric’s paper “Power-Constrained Performance Scheduling of Data Parallel Tasks,” co-authored with Jeremiah Wilke, and Sudhakar Yalamanchili was accepted in Energy Efficient Supercomputing Workshop (E2SC), 2016. Congratulations!!!Read More