Date & Time:
April 9, 2019 2:30 pm – 3:30 pm
Crerar 390, 5730 S. Ellis Ave., Chicago, IL,
04/09/2019 02:30 PM 04/09/2019 03:30 PM America/Chicago Nandita Vijaykumar (CMU) – Rethinking the Hardware-Software Contract Crerar 390, 5730 S. Ellis Ave., Chicago, IL,

Rethinking the Hardware-Software contract: Enabling Practical and General Cross-Layer Optimizations

Layered abstractions in the computing stack are critical to building complex systems, but the existing *interfaces* between layers restrict what can be done at each level. Enhancing cross-layer interfaces–specifically, the hardware-software interface–is crucial towards addressing two important and hard-to-solve challenges in computer systems today: First, significant effort and expertise are required to write high-performance code that harnesses the full potential of today’s diverse and sophisticated hardware. Second, as a hardware or system designer, architecting faster and more efficient systems is challenging as the vast majority of the program’s semantic content and programmer intent gets lost in translation with today’s hardware-software interface. Moving towards the future, these challenges in programmability and efficiency will be even more intractable as we architect increasingly heterogeneous and sophisticated systems. 

In this talk, I will highlight my work [ISCA‘15, MICRO‘16, ISCA‘18, ISCA‘18] on how to design rich cross-layer abstractions that provide layered interfaces to directly communicate higher-level program semantics and intent from the application to the lower levels of the stack. In doing so, we can effectively bridge the so-called “semantic gap” between applications and computer systems, and enable a wide range of cross-layer optimizations in future systems with a single unifying interface. I will discuss how cross-layer approaches with these abstractions can significantly enhance (1) performance and efficiency by enabling the system to adapt to application characteristics and (2) programmability and portability by enabling application software to easily leverage diverse underlying hardware resources without specific knowledge of system details.  For example, daunting aspects of programming GPUs can be made much simpler with a rich cross-layer programming abstraction. I will describe how such abstractions can be designed to be highly practical and low-overhead, requiring only small additions to existing abstractions. 

Host: Shan Lu

Nandita Vijaykumar

Ph.D. Candidate, Carnegie Mellon University

Nandita Vijaykumar is a Ph.D. candidate at Carnegie Mellon University, advised by Prof. Onur Mutlu and Prof. Phillip Gibbons. She is also currently a visiting student at ETH Zurich. Her research focuses on the interaction between programming models, system software, and hardware architecture in an increasingly diverse compute landscape, with a focus on memory systems and modern accelerators like GPUs. She is excited about enabling cross-layer full-stack solutions to make future systems highly efficient and easy-to-program. She is the recipient of the Benjamin Garver Lamme/Westinghouse Fellowship at CMU. During her Ph.D., she has been fortunate to intern at Microsoft Research, Nvidia Research, and Intel Labs.

Related News & Events

UChicago CS News

Five UChicago CS students named to Siebel Scholars Class of 2024

Oct 02, 2023
UChicago CS News

UChicago Computer Scientists Bring in Generative Neural Networks to Stop Real-Time Video From Lagging

Jun 29, 2023
UChicago CS News

UChicago Team Wins The NIH Long COVID Computational Challenge

Jun 28, 2023
UChicago CS News

UChicago Assistant Professor Raul Castro Fernandez Receives 2023 ACM SIGMOD Test-of-Time Award

Jun 27, 2023
UChicago CS News

Computer Science Displays Catch Attention at MSI’s Annual Robot Block Party

Apr 07, 2023
UChicago CS News

Professor Heather Zheng Named ACM Fellow

Jan 18, 2023

Ian Foster – Better Information Faster: Programming the Continuum

Jan 06, 2023
UChicago CS News

Q&A: Ian Foster on Receiving the 2023 IEEE Internet Award

Jan 06, 2023
UChicago CS News

Professor Fred Chong Named IEEE Fellow

Dec 09, 2022
UChicago CS News

Associate Professor Diana Franklin Named ACM Distinguished Member

Dec 07, 2022
UChicago CS News

UChicago’s Parsl Project Pivots to Sustainability and Community with New Grants

Nov 17, 2022
man browsing Netflix
UChicago CS News

Trending Now: How Netflix Chills Our Free Will

Nov 14, 2022
arrow-down-largearrow-left-largearrow-right-large-greyarrow-right-large-yellowarrow-right-largearrow-right-smallbutton-arrowclosedocumentfacebookfacet-arrow-down-whitefacet-arrow-downPage 1CheckedCheckedicon-apple-t5backgroundLayer 1icon-google-t5icon-office365-t5icon-outlook-t5backgroundLayer 1icon-outlookcom-t5backgroundLayer 1icon-yahoo-t5backgroundLayer 1internal-yellowinternalintranetlinkedinlinkoutpauseplaypresentationsearch-bluesearchshareslider-arrow-nextslider-arrow-prevtwittervideoyoutube