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Oral Session
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Tue 14:15 |
Hardware Efficient ML |
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Oral
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Mon 9:57 |
GPU Semiring Primitives for Sparse Neighborhood Methods Corey Nolet · Divye Gala · Edward Raff · Joe Eaton · Brad Rees · Tim Oates |
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Oral
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Wed 13:00 |
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective Hengrui Zhang · Zhongming Yu · Guohao Dai · Guyue Huang · Yufei Ding · Yuan Xie · Yu Wang |
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Oral
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Wed 15:09 |
Learning Compressed Embeddings for On-Device Inference Niketan Pansare · Jay Katukuri · Aditya Arora · Frank Cipollone · Riyaaz Shaik · Noyan Tokgozoglu · Chandru Venkataraman |
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Oral
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Tue 9:03 |
VirtualFlow: Decoupling Deep Learning Models from the Underlying Hardware Andrew Or · Haoyu Zhang · Michael None Freedman |
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Oral
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Wed 9:57 |
Gyro Dropout: Maximizing Ensemble Effect in Neural Network Training JUNYEOL LEE · HYUNGJUN OH · Jiwon Seo |
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Oral
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Wed 15:27 |
Bolt: Bridging the Gap between Auto-tuners and Hardware-native Performance Jiarong Xing · Leyuan Wang · Shang Zhang · Jack Chen · Ang Chen · Yibo Zhu |
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Oral
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Tue 14:33 |
Towards the Co-design of Neural Networks and Accelerators Yanqi Zhou · Xuanyi Dong · Tianjian Meng · Mingxing Tan · Berkin Akin · Daiyi Peng · Amir Yazdanbakhsh · Da Huang · Ravi Narayanaswami · James Laudon |