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Isolating Functions at the Hardware Limit with Virtines (**best artifact winner**)

A Look at Communication-Intensive Performance in Julia

Task Parallel Assembly Language for Uncompromising Parallelism

Collaborative Research: PPoSS: Planning: Towards an Integrated, Full-stack System for Memory-centric Computing

NSF Award CCF-2029014; $185,473 (Collaborative total: $250K); January 2021 through December 2021. This project is a collaborative effort with Rujia Wang and Xian-He Sun at IIT and Peng Jiang at the University of Iowa.

Collaborative Research: PPoSS: Planning: Unifying Software and Hardware to Achieve Performant and Scalable Zero-cost Parallelism in the Heterogeneous Future

NSF Award CCF-2028958; $41,627 (Collaborative total: $1.2M); October 2020 through September 2021. This project is a collaborative effort with Peter Dinda, Simone Campanoni, and Nikos Hardavellas at Northwestern University, and Umut acar at Carnegie Mellon University.

Coalescent Computing

As computational infrastructure extends to the edge, it will increasingly offer the same fine-grained resource provisioning mechanisms used in large-scale cloud datacenters, and advances in low-latency, wireless networking technology will allow service providers to blur the distinction between local and remote resources for commodity computing.

Virtines: Isolated Execution at Function Call Granularity

We are exploring the limits of hardware virtualization by running individual functions in lightweight, virtualized execution environments called virtines. Programmers create virtines by annotating existing functions in C or Rust, and our runtime system (Wasp) manages virtual machines automatically.

Exploring Julia at the Large Scale

Practitioners of high-performance parallel computing have long sought better programming models and languages to ease the task of writing programs for large-scale systems. However, there is an undeniable tension that exists between extreme performance and developer friendliness.

Evaluating Julia as a Vehicle for High-Performance Parallel Runtime Construction

CSR: Medium: Collaborative Research: Interweaving the Parallel Software/Hardware Stack

NSF Award CNS-1763612; $305,578 (Collaborative total: $1.2M); September 2018 through August 2021. This project is a collaborative effort with Peter Dinda, Simone Campanoni, and Nikos Hardavellas at Northwestern University. Also see here.