2017 Proceeding- General Chair:
- Jonathan Greene,
- Program Chair:
- Jason H. Anderson
We are delighted to welcome you to the 2017 ACM International Symposium on Field-Programmable Gate Arrays (ACM FPGA 2017). ACM FPGA is the premiere forum for the presentation of new and exciting research on all aspects of FPGA technology, which include:
Novel FPGA architectures and circuits.
Advances in CAD tools for FPGAs, in areas such as technology mapping, placement, routing, and others.
High-level design methodologies that permit FPGA design at higher levels of abstraction.
Virtualization infrastructure to facilitate and ease the use of FPGAs in the datacenter/cloud context.
New applications for FPGAs, particularly their use as accelerators for achieving higher computational throughput and energy efficiency.
The conference also provides the opportunity for FPGA researchers and practitioners from around the world to connect with long-time friends, meet new ones, and network with one another in beautiful Monterey, California, famous worldwide for its spectacular coast, Fisherman's Wharf, and Cannery Row.
This year we received 101 submissions, of which 25 were accepted as full research papers (10 pages) to appear in the main conference or the pre-conference special-session on deep learning, and 5 papers were accepted as short research papers (6 pages). All full and short papers appear in these proceedings. In addition, 29 submissions were selected to be presented as posters; abstracts of these appear in these proceedings.
Recent years have seen the deployment of FPGAs in datacenters by Microsoft, Baidu, Amazon, and other companies. This year, the evening panel will consider the topic, "FPGAs in the Cloud", to discuss the opportunities and obstacles for achieving widespread FPGA usage in the cloud.
The symposium kicks off with the co-located Workshop on Overlay Architectures for FPGAs (OLAF). An overlay is an abstraction layer implemented on top of an FPGA whose purpose is to improve ease-of-use and engineering productivity. Following this, we will have a special session on "The Role of FPGAs in Deep Learning", with a tutorial and research paper presentations. The deep learning topic has exploded in importance in the past year with deep neural networks producing state-of-the-art results in image recognition, language translation, game playing, and other tasks. It will be fascinating to see whether, in the years ahead, FPGAs gain a prominent role for realization of accelerators in this burgeoning area.