首页> 外文会议>IEEE/ACM International Symposium on Microarchitecture >Packet chaining: Efficient single-cycle allocation for on-chip networks
【24h】

Packet chaining: Efficient single-cycle allocation for on-chip networks

机译:数据包链接:片上网络的有效单周期分配

获取原文

摘要

This paper introduces packet chaining, a simple and effective method to increase allocator matching efficiency and hence network performance, particularly suited to networks with short packets and short cycle times. Packet chaining operates by chaining packets destined to the same output together, to reuse the switch connection of a departing packet. This allows an allocator to build up an efficient matching over a number of cycles like incremental allocation, but not limited by packet length. For a 64-node 2D mesh at maximum injection rate and with single-flit packets, packet chaining increases network throughput by 15% compared to a highly-tuned router using a conventional single-iteration separable iSLIP allocator, and outperforms significantly more complex allocators. Specifically, it outperforms multiple-iteration iSLIP allocators and wavefront allocators by 10% and 6% respectively, and gives comparable throughput with an augmenting paths allocator. Packet chaining achieves this performance with a cycle time comparable to a single-iteration separable allocator. Packet chaining also reduces average network latency by 22.5% compared to a single-iteration iSLIP allocator. Finally, packet chaining increases IPC up to 46% (16% average) for application benchmarks because short packets are critical in a typical cache-coherent chip multiprocessor.
机译:本文介绍了数据包链接,这是一种简单有效的方法,可以提高分配器的匹配效率,从而提高网络性能,特别适用于数据包短且周期时间短的网络。数据包链接通过将发往相同输出的数据包链接在一起,从而重用离开数据包的交换连接来进行操作。这允许分配器在多个周期(如增量分配)上建立有效的匹配,但不受数据包长度的限制。对于具有最大注入速率且具有单包数据包的64节点2D网格,与使用传统的单迭代可分离iSLIP分配器的高度优化路由器相比,数据包链接将网络吞吐量提高了15%,并且性能明显优于更复杂的分配器。具体来说,它的性能优于多次迭代iSLIP分配器和波前分配器,分别达到了10%和6%,并且使用增强路径分配器可以提供可比较的吞吐量。数据包链接以与单迭代可分配器可比的循环时间实现了此性能。与单迭代iSLIP分配器相比,数据包链接还使平均网络延迟减少了22.5%。最后,由于短数据包对于典型的高速缓存一致性芯片多处理器至关重要,因此数据包链接将IPC提升至应用基准的46%(平均16%)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号