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High-level TSV resource sharing and optimization for TSV based 3D IC designs

机译:基于TSV的3D IC设计的高级TSV资源共享和优化

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Under the current process and layer bonding technology for the TSV (through-silicon-via) based 3D ICs, it is known that the TSV resource is one of the major sources of the function failure of the chip. Furthermore, TSV takes much larger size and pitch than the normal logic components. For this reason, a careful allocation of the TSV resource has been required in 3D IC designs, and several works have been proposed to allocate TSVs minimally or economically. This work addresses the problem of TSV allocation and optimization to overcome one of the critical limitations of the previous works, which is the unawareness or no exploitation of the possibility of TSV resource sharing, previously merely resorting to a simple binding of the data transfers to TSVs. This is because the previous 3D layer partitioners have performed TSV allocation and minimization without any link to the data transfer information accessible from the high-level synthesis flow. This work proposes two TSV resource sharing and optimization algorithms (as a post-processing of 3D layer partitioning) which make use of the life time information of the data transfers taken from the high-level synthesis. Precisely, we propose two algorithms for TSV resource sharing and optimization, which can be selectively applied depending on the sharing granularity and design complexity: word-level TSV sharing and bit-level TSV sharing. Through experiments with benchmark designs, it is confirmed that our proposed algorithms are able to reduce the number of TSVs by 10.5%∼41.1% in word-level TSV sharing and 15.5% ∼ 45.1% in bit-level TSV sharing at the expense of 2.0% ∼ 18.1% increase of 2D wirelength compared with the results produced by the conventional layer partitioning with no TSV sharing while still meeting the timing constraint of designs.
机译:在基于TSV(硅直通)的3D IC的当前工艺和层结合技术下,众所周知,TSV资源是芯片功能故障的主要来源之一。此外,TSV的尺寸和间距比普通逻辑组件大得多。因此,在3D IC设计中需要仔细分配TSV资源,并且已经提出了一些工作来最小或经济地分配TSV。这项工作解决了TSV分配和优化的问题,以克服先前工作的关键限制之一,即不了解或不利用TSV资源共享的可能性,以前仅依靠简单地将数据传输绑定到TSV 。这是因为先前的3D层分区程序已经执行了TSV分配和最小化,而没有指向可从高级合成流访问的数据传输信息的任何链接。这项工作提出了两种TSV资源共享和优化算法(作为3D层分区的后处理),它们利用了从高级综合中获取的数据传输的生命周期信息。准确地说,我们提出了两种用于TSV资源共享和优化的算法,这些算法可以根据共享粒度和设计复杂性有选择地应用:字级TSV共享和位级TSV共享。通过基准设计的实验,证实了我们提出的算法能够以字数为单位的TSV共享将TSV的数量减少10.5%〜41.1%,将比特级TSV的共享数量减少15.5%〜45.1%。与没有TSV共享的常规层分割所产生的结果相比,2D线长增加了%〜18.1%,同时仍然满足设计的时序约束。

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