IEEE Transactions on Computers · 2004 · 393 citations · 14 references
EngineeringComputer EngineeringComputer ScienceCompilersComputer ArchitectureField-programmable Gate ArraysField-programmable Gate Array ArchitectureFpga ArchitectureHardware AccelerationInstruction Set ArchitectureMicroarchitecture DesignProcessor MicroarchitectureCompilation For Reconfigurable HardwareMicroarchitectureReconfigurable ArchitecturesReconfigurable Computing ArchitecturesReconfigurable Hardware ArchitectureReconfigurable Instruction Set ArchitecturesReconfigurable MicroarchitectureReconfigurable Processor Architectures
In this paper, we present a polymorphic processor paradigm incorporating both general-purpose and custom computing processing. The proposal incorporates an arbitrary number of programmable units, exposes the hardware to the programmers/designers, and allows them to modify and extend the processor functionality at will. To achieve the previously stated attributes, we present a new programming paradigm, a new instruction set architecture, a microcode-based microarchitecture, and a compiler methodology. The programming paradigm, in contrast with the conventional programming paradigms, allows general-purpose conventional code and hardware descriptions to coexist in a program: In our proposal, for a given instruction set architecture, a onetime instruction set extension of eight instructions, is sufficient to implement the reconfigurable functionality of the processor. We propose a microarchitecture based on reconfigurable hardware emulation to allow high-speed reconfiguration and execution. To prove the viability of the proposal, we experimented with the MPEG-2 encoder and decoder and a Xilinx Virtex II Pro FPGA. We have implemented three operations, SAD, DCT, and IDCT. The overall attainable application speedup for the MPEG-2 encoder and decoder is between 2.64-3.18 and between 1.56-1.94, respectively, representing between 93 percent and 98 percent of the theoretically obtainable speedups.
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The Chimaera reconfigurable functional unit
Scott Hauck, T.W. Fry, M.M. Hosler et al. · 2002 · 285 citations
Engineering, Computer Science, High-performance Computing +17
NAPA C: compiling for a hybrid RISC/FPGA architecture
Maya Gokhale, Janice M. Stone · 2002 · 171 citations