Xilinx Research Labs provides technology leadership through its contributions to the company’s strategy and vision. The organization creates new technology opportunities for future products, works on emerging engineering challenges, and de-risks technologies which are critical to the business goals of the company. We actively engage with universities, start-ups, and customers who are early technology adopters to discover new challenges and get feedback on new ideas.
Current research topics include :
High Level Design Flows
Because today’s FPGAs are capable of integrating complete systems on chip, there is a growing need for FPGA tools and methods to support the design of complex systems-on-chip that are characterized by highly concurrent, heterogeneous computing, stringent real-time constraints and sophisticated communication networks.
Heterogeneous Multi-core Architectures
Programmable platform FPGA’s allow for the implementation of multi-core architectures that combine traditional microprocessors with application-specific processing cores. This is enabled by tools that guide designers during the partitioning and mapping of high-level specifications onto a combination of software running on embedded processors and hardware implemented in programmable logic.
"More than Moore’s Law"
Future FPGAs will continue to benefit from Moore’s law. Advances in process scaling will be combined with new circuit and architectural insights along with innovations in system-in-package technology to solve IO bottlenecks and integrate heterogeneous technologies. These innovations will allow designers to build higher performance and lower power systems that optimally exploit the programmable FPGA architecture.
Advanced Applications in Network Processing, Signal Processing, and Embedded Systems
As FPGA platforms continue to deliver more performance at lower cost and lower power, they are becoming the heart of embedded applications such as complex packet processing for networks with line rates of 400+ Gbps; high performance digital signal processing in novel wireless baseband and radio functions; and future video and image processing systems.
- CDSC - The Centre for Domain-Specific Computing at UCLA is developing a Customizable Heterogeneous Compute Platform for Medical Image Processing. The platform consists of a heterogeneous set of adaptive computational resources connected with high-bandwidth, non-traditional reconfigurable interconnects resulting in orders of magnitude increase in compute efficiency.
- NetFPGA - The NetFPGA is a line-rate, flexible, and open platform for research, and classroom experimentation.
- WARP - Rice University's WARP is a scalable and extensible programmable wireless platform, built from the ground up, to prototype advanced wireless networks.
- RAMP - University of California, Berkeley’s RAMP project provides system platform which enables research in the areas of operating system, compilers, debuggers, programming languages, and scientific libraries development involving multi-core chips.
Worldwide Labs Locations
San Jose, California