Static scheduling of synchronous data flow programs for digital signal processing
IEEE Transactions on Computers
StreamIt: A Language for Streaming Applications
CC '02 Proceedings of the 11th International Conference on Compiler Construction
Stream-Oriented FPGA Computing in the Streams-C High Level Language
FCCM '00 Proceedings of the 2000 IEEE Symposium on Field-Programmable Custom Computing Machines
Efficient randomized pattern-matching algorithms
IBM Journal of Research and Development - Mathematics and computing
Brook for GPUs: stream computing on graphics hardware
ACM SIGGRAPH 2004 Papers
An Architecture for Fast Processing of Large Unstructured Data Sets
ICCD '04 Proceedings of the IEEE International Conference on Computer Design
A Scalable Architecture For High-Throughput Regular-Expression Pattern Matching
Proceedings of the 33rd annual international symposium on Computer Architecture
Computer
Compiling for stream processing
Proceedings of the 15th international conference on Parallel architectures and compilation techniques
A Federated Simulation Environment for Hybrid Systems
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation
Biosequence Similarity Search on the Mercury System
Journal of VLSI Signal Processing Systems
Application development on hybrid systems
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Mercury BLASTP: Accelerating Protein Sequence Alignment
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Practical fpga programming in c
Practical fpga programming in c
Auto-pipe and the X language: a pipeline design tool and description language
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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Architecturally diverse computation exploits non-traditional computing platforms (e.g., field-programmable gate arrays, graphics processors, heterogeneous chip multiprocessors) to execute user applications. We have designed the Auto-Pipe tool set with the goal of easing the task of developing applications for architecturally diverse systems. Prior to and during the course of Auto-Pipe's design, we have developed a number of real, substantial applications, and the the lessons learned during the development of these applications has had a direct bearing on the capabilities of Auto-Pipe. In this paper, we describe the relationship between our application development experience and Auto-Pipe. In short, how have applications guided the tools' evolution and development?