Stefan Hadjis

According to our database, Stefan Hadjis authored at least 12 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Techniques for mapping deep neural network frameworks to programmable accelerators.

Stefan Hadjis

PhD thesis, 2021

2019

TensorFlow to Cloud FPGAs: Tradeoffs for Accelerating Deep Neural Networks.

Stefan Hadjis, Kunle Olukotun

Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

2018

Plasticine: A Reconfigurable Accelerator for Parallel Patterns.

Raghu Prabhakar, Yaqi Zhang, David Koeplinger, Matthew Feldman, Tian Zhao, Stefan Hadjis, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun

IEEE Micro, 2018

Spatial: a language and compiler for application accelerators.

David Koeplinger, Matthew Feldman, Raghu Prabhakar, Yaqi Zhang, Stefan Hadjis, Ruben Fiszel, Tian Zhao, Luigi Nardi, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun

Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

2017

Plasticine: A Reconfigurable Architecture For Parallel Paterns.

Raghu Prabhakar, Yaqi Zhang, David Koeplinger, Matthew Feldman, Tian Zhao, Stefan Hadjis, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun

Proceedings of the 44th Annual International Symposium on Computer Architecture, 2017

2016

Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs.

Stefan Hadjis, Ce Zhang, Ioannis Mitliagkas, Christopher Ré

CoRR, 2016

Asynchrony begets momentum, with an application to deep learning.

Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Importance Sampling over Sets: A New Probabilistic Inference Scheme.

Stefan Hadjis, Stefano Ermon

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Caffe con Troll: Shallow Ideas to Speed Up Deep Learning.

Stefan Hadjis, Firas Abuzaid, Ce Zhang, Christopher Ré

Proceedings of the Fourth Workshop on Data analytics in the Cloud, 2015

Profiling-driven multi-cycling in FPGA high-level synthesis.

Stefan Hadjis, Andrew Canis, Ryoya Sobue, Yuko Hara-Azumi, Hiroyuki Tomiyama, Jason Helge Anderson

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014

Automating the Design of Processor/Accelerator Embedded Systems with LegUp High-Level Synthesis.

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

Proceedings of the 12th IEEE International Conference on Embedded and Ubiquitous Computing, 2014

2012

Impact of FPGA architecture on resource sharing in high-level synthesis.

Stefan Hadjis, Andrew Canis, Jason Helge Anderson, Jongsok Choi, Kevin Nam, Stephen Dean Brown, Tomasz S. Czajkowski

Proceedings of the ACM/SIGDA 20th International Symposium on Field Programmable Gate Arrays, 2012