Statecharts: A visual formalism for complex systems
Science of Computer Programming
Reconfigurable models of finite state machines and their implementation in FPGAs
Journal of Systems Architecture: the EUROMICRO Journal
Advanced hardware/software co-design on reconfigurable network-on-chip based hyper-platforms
Computers and Electrical Engineering
Efficient hardware code generation for FPGAs
ACM Transactions on Architecture and Code Optimization (TACO)
Engineering Applications of Artificial Intelligence
Organization of computer systems: the fixed plus variable structure computer
IRE-AIEE-ACM '60 (Western) Papers presented at the May 3-5, 1960, western joint IRE-AIEE-ACM computer conference
A cycle-accurate transaction level SystemC model for a serial communication bus
Computers and Electrical Engineering
Designing Modular Hardware Accelerators in C with ROCCC 2.0
FCCM '10 Proceedings of the 2010 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines
Optimal utilization of available reconfigurable hardware resources
Computers and Electrical Engineering
The VLDB Journal — The International Journal on Very Large Data Bases
Automatic generation of hardware/software interfaces
ASPLOS XVII Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems
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Advances in microelectronic devices have dissolved the boundary between software and hardware. Faster hardware circuits that enable significantly greater parallelism to be achieved have encouraged recent research efforts into high-performance computation in electronic systems without the direct use of processing cores. Standard multi-core processors undoubtedly introduce a number of constraints, such as pre-defined operand sizes and instruction sets, and limits on concurrency and parallelism. This paper suggests a way to convert methods and functions that are defined in a general-purpose programming language into hardware implementations. Thus, conventional programming techniques such as function hierarchy, recursion, passing arguments and returning values can be entirely implemented in hardware modules that execute within a hierarchical finite state machine with extended capabilities. The resulting circuits have been found to be faster than their software alternatives and this conclusion is confirmed by numerous experiments in a variety of application areas.