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(23 events)   Timezone:  
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Oral
Tue Mar 03 06:00 AM -- 06:25 AM (PST) @ Ballroom A
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
In ML programming models and abstractions & ML applied to systems
Ameer Haj-Ali · Qijing (Jenny) Huang · John Xiang · William Moses · Krste Asanovic · John Wawrzynek · Ion Stoica
Oral
Tue Mar 03 06:25 AM -- 06:50 AM (PST) @ Ballroom A
Automatically batching control-intensive programs for modern accelerators
In ML programming models and abstractions & ML applied to systems
Alexey Radul · Brian Patton · Dougal Maclaurin · Matthew Hoffman · Rif A. Saurous
Oral
Tue Mar 03 06:50 AM -- 07:15 AM (PST) @ Ballroom A
Predictive Precompute with Recurrent Neural Networks
In ML programming models and abstractions & ML applied to systems
Hanson Wang · Zehui Wang · Yuanyuan Ma
Break
Tue Mar 03 07:00 AM -- 08:00 AM (PST) @ Ballroom B
Breakfast and Registration
Oral
Tue Mar 03 07:15 AM -- 07:40 AM (PST) @ Ballroom A
Sense & Sensitivities: The Path to General-Purpose Algorithmic Differentiation
In ML programming models and abstractions & ML applied to systems
Mike Innes
Oral
Tue Mar 03 07:40 AM -- 08:05 AM (PST) @ Ballroom A
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices
In ML programming models and abstractions & ML applied to systems
Byung Hoon Ahn · Jinwon Lee · Jamie Menjay Lin · Hsin-Pai Cheng · Jilei Hou · Hadi Esmaeilzadeh
Oral
Tue Mar 03 08:30 AM -- 08:55 AM (PST) @ Ballroom A
Fine-Grained GPU Sharing Primitives for Deep Learning Applications
In Efficient inference and model serving
Peifeng Yu · Mosharaf Chowdhury
Oral
Tue Mar 03 08:55 AM -- 09:20 AM (PST) @ Ballroom A
Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc
In Efficient inference and model serving
Zhihao Jia · Sina Lin · Mingyu Gao · Matei Zaharia · Alex Aiken
Oral
Tue Mar 03 09:20 AM -- 09:45 AM (PST) @ Ballroom A
OPTIMUS: OPTImized matrix MUltiplication Structure for Transformer neural network accelerator
In Efficient inference and model serving
Junki Park · Hyunsung Yoon · Daehyun Ahn · Jungwook Choi · Jae-Joon Kim
Oral
Tue Mar 03 09:45 AM -- 10:10 AM (PST) @ Ballroom A
PoET-BiN: Power Efficient Tiny Binary Neurons
In Efficient inference and model serving
Sivakumar Chidambaram · Pierre Langlois · Jean-Pierre David
Break
Tue Mar 03 10:05 AM -- 10:30 AM (PST) @ Ballroom B
Coffee Break
Invited Talk
Tue Mar 03 11:30 AM -- 12:30 PM (PST) @ Ballroom A
The Emerging Role of Cryptography in Trustworthy AI
Shafi Goldwasser
[ Video] 
Break
Tue Mar 03 12:10 PM -- 01:30 PM (PST) @ Ballroom B + C
Lunch will be provided
Oral
Tue Mar 03 12:30 PM -- 12:55 PM (PST) @ Ballroom A
Memory-Driven Mixed Low Precision Quantization for Enabling Deep Network Inference on Microcontrollers
In Quantization of deep neural networks
Manuele Rusci · Alessandro Capotondi · Luca Benini
Oral
Tue Mar 03 12:55 PM -- 01:20 PM (PST) @ Ballroom A
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks
In Quantization of deep neural networks
Sambhav Jain · Albert Gural · Michael Wu · Chris Dick
Oral
Tue Mar 03 01:20 PM -- 01:45 PM (PST) @ Ballroom A
Riptide: Fast End-to-End Binarized Neural Networks
In Quantization of deep neural networks
Joshua Fromm · Meghan Cowan · Matthai Philipose · Luis Ceze · Shwetak Patel
Oral
Tue Mar 03 01:45 PM -- 02:10 PM (PST) @ Ballroom A
Searching for Winograd-aware Quantized Networks
In Quantization of deep neural networks
Javier Fernandez-Marques · Paul Whatmough · Andrew Mundy · Matthew Mattina
Oral
Tue Mar 03 02:30 PM -- 02:55 PM (PST) @ Ballroom A
Blink: Fast and Generic Collectives for Distributed ML
In Efficient Model Training 2
Guanhua Wang · Shivaram Venkataraman · Amar Phanishayee · Nikhil Devanur · Jorgen Thelin · Ion Stoica
Oral
Tue Mar 03 02:55 PM -- 03:20 PM (PST) @ Ballroom A
A Systematic Methodology for Analysis of Deep Learning Hardware and Software Platforms
In Efficient Model Training 2
Yu Wang · Gu-Yeon Wei · David Brooks
Oral
Tue Mar 03 03:20 PM -- 03:45 PM (PST) @ Ballroom A
MotherNets: Rapid Deep Ensemble Learning
In Efficient Model Training 2
Abdul Wasay · Brian Hentschel · Yuze Liao · Sanyuan Chen · Stratos Idreos
Oral
Tue Mar 03 03:45 PM -- 04:10 PM (PST) @ Ballroom A
MLPerf Training Benchmark
In Efficient Model Training 2
Peter Mattson · Christine Cheng · Gregory Diamos · Cody Coleman · Paulius Micikevicius · David Patterson · Hanlin Tang · Gu-Yeon Wei · Peter Bailis · Victor Bittorf · David Brooks · Dehao Chen · Debo Dutta · Udit Gupta · Kim Hazelwood · Andy Hock · Xinyuan Huang · Daniel Kang · David Kanter · Naveen Kumar · Jeffery Liao · Deepak Narayanan · Tayo Oguntebi · Gennady Pekhimenko · Lillian Pentecost · Vijay Janapa Reddi · Taylor Robie · Tom St John · Carole-Jean Wu · Lingjie Xu · Cliff Young · Matei Zaharia
Break
Tue Mar 03 04:10 PM -- 04:30 PM (PST)
Coffee Break
Break
Tue Mar 03 06:10 PM -- 06:15 PM (PST) @ Ballroom A
Closing Remarks