Comprehensive Accelerator-Dataflow Co-Design Optimization for Convolutional Neural Networks (CGO 2022 - Main Conference) - CGO 2022

Write a Blog >>

Sat 2 - Wed 6 April 2022

Who

Miheer Vaidya, Aravind Sukumaran-Rajam, Atanas Rountev, Ponnuswamy Sadayappan

Track

CGO 2022 Main Conference

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

Use conference time zone: (GMT-04:00) Eastern Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

When

Tue 5 Apr 2022 11:05 - 11:20 - Session #4: AI Systems Chair(s): Jacques Pienaar

Link to Publication

https://whova.com/portal/webapp/ppopp_202204/Agenda/2239129

Miheer Vaidya

University of Utah

Aravind Sukumaran-Rajam

Washington State University

Atanas Rountev

Ohio State University

Ponnuswamy Sadayappan

University of Utah

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

Use conference time zone: (GMT-04:00) Eastern Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Session Program

Tue 5 Apr
Displayed time zone: Eastern Time (US & Canada) change

	10:20 - 11:20	Session #4: AI SystemsMain Conference Chair(s): Jacques Pienaar Google, USA

	10:20 15m Talk		SPNC: An Open-Source MLIR-based Compiler for Fast Sum-Product Network Inference on CPUs and GPUs Main Conference Lukas Sommer TU Darmstadt, Cristian Axenie Huawei Munich Research Center, Andreas Koch TU Darmstadt Link to publication
	10:35 15m Talk		Distill: Domain-Specific Compilation for Cognitive Models Main Conference Jan Vesely Yale University, Raghavendra Pradyumna Pothukuchi Yale University, Ketaki Joshi Yale University, Samyak Gupta Princeton University, Jonathan Cohen Princeton University, Abhishek Bhattacharjee Yale University Link to publication
	10:50 15m Talk		Optimizing GPU Deep Learning Operators With Polyhedral Scheduling Constraint Injection Main Conference Cedric Bastoul Huawei, Zhen Zhang Huawei , Harenome Razanajato Huawei, Javier de Juan Huawei, Nelson Lossing Huawei, Adilla Susungi Huawei, Etienne Filhol Huawei, Baptiste Jarry Huawei Link to publication
	11:05 15m Talk		Comprehensive Accelerator-Dataflow Co-Design Optimization for Convolutional Neural Networks Main Conference Miheer Vaidya University of Utah, Aravind Sukumaran-Rajam Washington State University, Atanas Rountev Ohio State University, Ponnuswamy Sadayappan University of Utah Link to publication