The design and implementation of the self compiler, an optimizing compiler for object-oriented programming languages
Object-oriented domain specific compilers for programming FPGA's
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low power electronics and design
A Verilog HDL Primer
Circuit Design with VHDL
Measuring the gap between FPGAs and ASICs
Proceedings of the 2006 ACM/SIGDA 14th international symposium on Field programmable gate arrays
Virgil: objects on the head of a pin
Proceedings of the 21st annual ACM SIGPLAN conference on Object-oriented programming systems, languages, and applications
SystemC: From the Ground Up
The ExoVM system for automatic VM and application reduction
Proceedings of the 2007 ACM SIGPLAN conference on Programming language design and implementation
Vertical object layout and compression for fixed heaps
CASES '07 Proceedings of the 2007 international conference on Compilers, architecture, and synthesis for embedded systems
Lithographic aerial image simulation with FPGA-based hardwareacceleration
Proceedings of the 16th international ACM/SIGDA symposium on Field programmable gate arrays
Liquid Metal: Object-Oriented Programming Across the Hardware/Software Boundary
ECOOP '08 Proceedings of the 22nd European conference on Object-Oriented Programming
A compiler and runtime for heterogeneous computing
Proceedings of the 49th Annual Design Automation Conference
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Consumer electronics today such as cell phones often have one or more low-power FPGAs to assist with energyintensive operations in order to reduce overall energy consumption and increase battery life. However, current techniques for programming FPGAs require people to be specially trained to do so. Ideally, software engineers can more readily take advantage of the benefits FPGAs offer by being able to program them using their existing skills, a common one being object-oriented programming. However, traditional techniques for compiling object-oriented languages are at odds with today's FPGA tools, which support neither pointers nor complex data structures. Open until now is the problem of compiling an object-oriented language to an FPGA in a way that harnesses this potential for huge energy savings. In this paper, we present a new compilation technique that feeds into an existing FPGA tool chain and produces FPGAs with up to almost an order of magnitude in energy savings compared to a low-power microprocessor while still retaining comparable performance and area usage.