Implementing an API for Distributed Adaptive Computing Systems
FCCM '99 Proceedings of the Seventh Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Implementing an API for Distributed Adaptive Computing Systems
FCCM '99 Proceedings of the Seventh Annual IEEE Symposium on Field-Programmable Custom Computing Machines
High-Visibility Debug-By-Design for FPGA Platforms
The Journal of Supercomputing
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The mission of the Systems-Level Applications of Adaptive Computing (SLAAC) project is to design and implement a distributed adaptive computing systems architecture. This systems-level focus of SLAAC resulted from the realization that scalability and portability are the two main obstructions preventing innovative Adaptive Computing Systems (ACS) research from being directly useful in deployed real-time environments. Scalability is an issue in that many real-world applications are larger than the modern PCI-based FPGA accelerator. Transitioning from a small proof of concept demonstration to large real-world application is often overlooked in ACS research. Portability has both a hardware and software aspect.Physical form-factor and operating system issues can limit the utility ACS research done in the lab with desktop PCs unless there is a development path to more traditional real-time environments. The SLAAC project seeks to remedy these issues of scalability and portability in ACS systems.