An embedded DRAM architecture for large-scale spatial-lattice computations
Proceedings of the 27th annual international symposium on Computer architecture
High Speed Computation of Three Dimensional Cellular Automata with FPGA
FPL '02 Proceedings of the Reconfigurable Computing Is Going Mainstream, 12th International Conference on Field-Programmable Logic and Applications
Predecessor existence problems for finite discrete dynamical systems
Theoretical Computer Science
Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation
Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation
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We propose an FPGA chip architecture based on a conventional FPGA logic array core, in which I/O pins are clocked at a much higher rate than that of the logic array that they serve. Wide data paths within the chip are time multiplexed at the edge of the chip into much faster and narrower data paths that run off-chip. This kind of arrangement makes it possible to interface a relatively slow FPGA core with high speed memories and data streams, and is useful for many pin-limited FPGA applications. For efficient use of the highest bandwidth DRAMs, our proposed chip includes a RAMBUS DRAM interface, a burst-transfer controller, and burst buffers. This proposal is motivated by our work with virtual processor cellular automata (CA) machines-a kind of SIMD computer. Our next generation of CA machines requires reconfigurable FPGA-like processors coupled to the highest speed DRAMs and SRAMs available. Unfortunately, no current FPGA chips have appropriate DRAM I/O support or the speed needed to easily interface with pipelined SRAMs. The chips proposed would make a wide range of large-scale CA simulations of 3D physical systems practical and economical-simulations that are currently well beyond the reach of any existing computer. These chips would also be well suited to a broad range of other simulation, graphics and DSP-like applications.