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ORCIDStefan Hadjis
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2020 – today
- 2021
[b1]Stefan Hadjis:
Techniques for mapping deep neural network frameworks to programmable accelerators. Stanford University, USA, 2021
2010 – 2019
- 2019
- [c9]Stefan Hadjis, Kunle Olukotun
:
TensorFlow to Cloud FPGAs: Tradeoffs for Accelerating Deep Neural Networks. FPL 2019: 360-366 - 2018
- [j1]Raghu Prabhakar, Yaqi Zhang, David Koeplinger, Matthew Feldman, Tian Zhao, Stefan Hadjis, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun:
Plasticine: A Reconfigurable Accelerator for Parallel Patterns. IEEE Micro 38(3): 20-31 (2018) - [c8]David Koeplinger, Matthew Feldman, Raghu Prabhakar, Yaqi Zhang, Stefan Hadjis, Ruben Fiszel, Tian Zhao, Luigi Nardi, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun:
Spatial: a language and compiler for application accelerators. PLDI 2018: 296-311 - 2017
- [c7]Raghu Prabhakar, Yaqi Zhang, David Koeplinger, Matthew Feldman, Tian Zhao, Stefan Hadjis, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun:
Plasticine: A Reconfigurable Architecture For Parallel Paterns. ISCA 2017: 389-402 - 2016
- [c6]Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré:
Asynchrony begets momentum, with an application to deep learning. Allerton 2016: 997-1004 - [i3]Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré:
Asynchrony begets Momentum, with an Application to Deep Learning. CoRR abs/1605.09774 (2016) - [i2]Stefan Hadjis, Ce Zhang, Ioannis Mitliagkas, Christopher Ré:
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs. CoRR abs/1606.04487 (2016) - 2015
- [c5]Stefan Hadjis, Andrew Canis, Ryoya Sobue, Yuko Hara-Azumi, Hiroyuki Tomiyama, Jason Helge Anderson:
Profiling-driven multi-cycling in FPGA high-level synthesis. DATE 2015: 31-36 - [c4]Stefan Hadjis, Firas Abuzaid, Ce Zhang, Christopher Ré:
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning. DanaC@SIGMOD 2015: 2:1-2:4 - [c3]Stefan Hadjis, Stefano Ermon:
Importance Sampling over Sets: A New Probabilistic Inference Scheme. UAI 2015: 355-364 - [i1]Firas Abuzaid, Stefan Hadjis, Ce Zhang, Christopher Ré:
Caffe con Troll: Shallow Ideas to Speed Up Deep Learning. CoRR abs/1504.04343 (2015) - 2014
- [c2]Blair Fort, Andrew Canis, Jongsok Choi, Nazanin Calagar, Ruolong Lian, Stefan Hadjis, Yu Ting Chen, Mathew Hall, Bain Syrowik, Tomasz S. Czajkowski, Stephen Dean Brown, Jason Helge Anderson:
Automating the Design of Processor/Accelerator Embedded Systems with LegUp High-Level Synthesis. EUC 2014: 120-129 - 2012
- [c1]Stefan Hadjis, Andrew Canis, Jason Helge Anderson, Jongsok Choi, Kevin Nam, Stephen Dean Brown, Tomasz S. Czajkowski:
Impact of FPGA architecture on resource sharing in high-level synthesis. FPGA 2012: 111-114
Coauthor Index
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