Demo Night

The IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM) is the original and premier forum for presenting and discussing new research related to computing that exploits the unique features and capabilities of FPGAs and other reconfigurable hardware.

The FCCM 2019 Demo Night is a show-and-tell event, held on Monday, April 29th. All conference attendees are invited to the demo night to mingle and share knowledge in an informal setting. Demonstrations may include system designs, platforms, tools, and more. The Demo Night is a great opportunity for representatives of the most prominent industries in the field to meet with the leading FCCM researchers, which might include prospective customers or potential future employees. This event is also an excellent occasion for academic researchers to increase their visibility, demonstrate their latest work, show how to use open source software or building blocks, and receive early feedback on their work in progress.

Demo Night Program
6:00 – 8:30 PM PDT

Scripps Forum

Demo #AuthorsTitleVideo Link (Optional)
1Dan Pritsker and Colman CheungMonobit Wideband Receiver with Integrated Dithering in FPGA
2Martin Geier, Dominik Faller, Marian Brändle and Samarjit ChakrabortyCombined Energy and Latency Monitoring of a Zynq-based GigE Vision Acquisition/Processing PipelineLink
3Michail Papadimitriou, Juan Fumero, Athanasios Stratikopoulos and Christos KotselidisEnabling Fast Prototyping and Acceleration of Java Programs onto Intel FPGAs with TornadoVM
4Georgi Gaydadjiev and Nils VossPerformance Potability using MaxCompiler
5Jonathan Beaumont, Shane Fleming, Matthew Naylor, David Thomas, Andrew Brown, Andrey Mokhov and Simon MoorePOETS - Partial Ordered Event Triggered Systems
6Haggai Eran, Lior Zeno, Maroun Tork, Gabi Malka, Zsolt István and Mark SilbersteinA SmartNIC-based memcached Accelerator with NICA and ntl
7Daniel Holanda Noronha, Ruizhe Zhao, Jeffrey Goeders, Wayne Luk and Steve WiltonOn-chip FPGA Debug Instrumentation for Machine Learning ApplicationsLink
8Eddie Hung and David ShahYosys+nextpnr: Bet you can't say this tongue twister faster than I can bitstream
9Naif Tarafdar, Varun Sharma and Paul ChowTelepathy: A Multi-FPGA, Multi-CPU Machine Learning Framework Deployed on a Hardware Stack
10Dallon Glick, Jesse Grigg, Brent Nelson and Michael WirthlinMaverick: A Stand-alone CAD Flow for Partially Reconfigurable FPGA Modules
11Richard Chamberlain and Marcus WeddleFPGA Acceleration of Binary Weighted Neural Network InferenceLink
12Dominique Meyer, Akhil Birlangi, Ryan Kastner and Falko KuesterFPGA Accelerated Stereo Depth for Stereo-Panoramic Video and Scene Estimation
13Sergiu Mosanu, Xinfei Guo, Mohamed El-Hadedy, Lorena Anghel and Mircea StanFlexible, Highly-Parameterizable Encryption Modules in Chisel on RISC-V Cores
14Mineto Tsukada, Masaaki Kondo and Hiroki MatsutaniAn FPGA-based On-device Sequential Learning Approach for Unsupervised Anomaly Detection
15Guy LemieuxRunning highly accelerated software on FPGA-based soft and hard processorsLink
16Eugenio Culurciello, Sen Ma and Shanyuan GaoCreating an AI-Generated Portrait via Style Transfer
17Alireza Khodamoradi, Ryan Kastner and Parimal PatelDesigning and Fast Prototyping with PYNQ and Vivado HLS
18John LockwoodReal-time data in connected cities using Key Value Store in FPGA