In this paper, we explore the implementation of fault simulation on a Graphics Processing Unit (GPU). In particular, we implement a fault simulator that exploits thread level parallelism. Fault simulation is inherently parallelizable, and the large number of threads that can be computed in parallel on a GPU results in a natural fit for the problem of fault simulation. Our implementation faultsimulates all the gates in a particular level of a circuit, including good and faulty circuit simulations, for all patterns, in parallel. Since GPUs have an extremely large memory bandwidth, we implement each of our fault simulation threads (which execute in parallel with no data dependencies) using memory lookup. Fault injection is also done along with gate evaluation, with each thread using a different fault injection mask. All threads compute identical instructions, but on different data, as required by the Single Instruction Multiple Data (SIMD) programming semantics of the GPU. Our results, implemented on a NVIDIA GeForce GTX 8800 GPU card, indicate that our approach is on average 35× faster when compared to a commercial fault simulation engine. With the recently announced Tesla GPU servers housing up to eight GPUs, our approach would be potentially 238× faster. The correctness of the GPU based fault simulator has been verified by comparing its result with a CPU based fault simulator.

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With the standard approach for establishing multicast connections over a network, network nodes are utilized to forward and duplicate the packets received over the incoming links. Recently, there has been a significant interest in a novel paradigm of network coding. Network coding generalizes the traditional routing approach by allowing the network nodes to generate new packets by performing algebraic operations on packets received over the incoming links. It has been shown that network coding can increase the throughput of multicast communication. In this paper, we explore the benefits of network coding for improving the routing characteristics of VLSI designs. We demonstrate that when data has to be routed across the IC, it is often beneficial to perform network coding. Initial results demonstrate that network coding can result in a healthy reduction in wire length, wire area, interconnect power as well as the active area associated with the interconnects. This comes at a small delay penalty.

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