Comparison of High Level FPGA Hardware Design for Solving Tri-Diagonal Linear Systems

Provided by: Reed Elsevier
Topic: Hardware
Format: PDF
Reconfigurable computing devices can increase the performance of compute intensive algorithms by implementing application specific co-processor architectures. The power cost for this performance gain is often an order of magnitude less than that of modern CPUs and GPUs. Exploiting the potential of reconfigurable devices such as Field-Programmable Gate Arrays (FPGAs) is typically a complex and tedious hardware engineering task. Recently the major FPGA vendors (Altera and Xilinx) have released their own high-level design tools, which have great potential for rapid development of FPGA based custom accelerators.

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