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Biologically-inspired massively-parallel architectures — Computing beyond a million processors

机译:受生物启发的大规模并行体系结构—计算能力超过一百万个处理器

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Moore's Law continues to deliver ever-more transistors on an integrated circuit, but discontinuities in the progress of technology mean that the future isn't simply an extrapolation of the past. For example, design cost and complexity constraints have recently caused the microprocessor industry to switch to multi-core architectures, even though these parallel machines present programming challenges that are far from solved. Moore's Law now translates into ever-more processors on a multi-, and soon many-core chip. The software challenge is compounded by the need for increasing fault-tolerance as near-atomic-scale variability and robustness problems bite harder. We look beyond this transitional phase to a future where the availability of processor resource is effectively unlimited and computations must be optimised for energy usage rather than load balancing, and we look to biology for examples of how such systems might work. Conventional concerns such as synchronisation and determinism are abandoned in favour of real-time operation and adapting around component failure with minimal loss of system efficacy.
机译:摩尔定律继续在集成电路上提供越来越多的晶体管,但是技术进步的不连续性意味着未来不仅仅是对过去的推论。例如,设计成本和复杂性限制最近导致微处理器行业转向多核体系结构,即使这些并行机提出了远未解决的编程挑战。摩尔定律现在可以转换为多核(很快成为多核)芯片上的更多处理器。由于近原子规模的可变性和鲁棒性问题越来越难解决,因此对提高容错能力的需求使软件挑战更加复杂。我们将目光从过渡阶段过渡到未来,在未来处理器资源的可用性实际上是无限的,必须针对能源使用而不是负载平衡来优化计算,并且我们会从生物学中寻找此类系统可能如何工作的示例。诸如同步和确定性之类的常规问题被抛弃,而转向实时操作,并以最小的系统效率损失来适应组件故障。

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