Stefan Hadjis

Plasticine: A reconfigurable architecture for parallel patterns

Kunle Olukotun, Christoforos E. Kozyrakis, Yaqi Zhang, 2017, 2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA).

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

Hiroyuki Tomiyama, Jason Helge Anderson, Yuko Hara-Azumi, 2015, 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Spatial: a language and compiler for application accelerators

Kunle Olukotun, Christoforos E. Kozyrakis, Yaqi Zhang, 2018, PLDI.

TensorFlow to Cloud FPGAs: Tradeoffs for Accelerating Deep Neural Networks

Kunle Olukotun, Stefan Hadjis, K. Olukotun, 2019, 2019 29th International Conference on Field Programmable Logic and Applications (FPL).

Caffe con Troll: Shallow Ideas to Speed Up Deep Learning

Christopher R'e, Ce Zhang, Firas Abuzaid, 2015, DanaC@SIGMOD.

Asynchrony begets momentum, with an application to deep learning

Ioannis Mitliagkas, Christopher Ré, Ce Zhang, 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

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

Ioannis Mitliagkas, Christopher Ré, Ce Zhang, 2016, ArXiv.

Plasticine: A Reconfigurable Accelerator for Parallel Patterns

Kunle Olukotun, Christoforos E. Kozyrakis, Yaqi Zhang, 2018, IEEE Micro.

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

Jason Helge Anderson, Stephen Dean Brown, Tomasz S. Czajkowski, 2012, FPGA '12.

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

Yu Ting Chen, Mathew Hall, Jason Helge Anderson, 2014, 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing.

Importance Sampling over Sets: A New Probabilistic Inference Scheme

Stefano Ermon, Stefan Hadjis, 2015, UAI.