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Research Abstracts - 2006
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A Segemented Parallel-Prefix VLSI Circuit with Small Delays for Small Segments

Bradley C. Kuszmaul

Summary

We developed a VLSI circuit for segmented parallel prefix with gate delay O(log S) and wire delay O(√S) for segment size S, and total area O(N). Thus, for example, for the problem of adding random numbers, in most cases, the addition would complete with only O(log log N) gate delay and O(√log N) wire delay.

Background

One of the limitations to increasing clock speed for microprocessors is the time required for a VLSI circuit to perform an addition of two integers [2]. Fast-carry-lookahead circuits implement addition of N-bit numbers in order O(log N) gate delays, and, with the proper VLSI layout, in area O(N) and with O(√N) wire delay, which is tight for the general problem of computing a value across an entire chip. Shown below is example layout of a circuit that achieves only O(log S) gate delays and O(√S) wire delay, where S is the length of the longest carry chain, however.

The basic idea is that for fast-carry lookahead, the values from some distant parts of the chips can be ignored whenever the carry is ``killed''. The same idea works for any segmented parallel prefix circuit.

To achieve these bounds both the gate delays and the wire delays must be kept small. To reduce the gate delays, insert ``shortcuts'' (shown as dashed lines in the figure) between distant-cousin subtrees that are adjacent in the carry chain. To reduce the wire delays, lay out subtrees in a modified H-tree layout (reflected by the node numbering in the figure) so that the Euclidean distance between leaves i and j is O(√|j-i|). See [5] for more details.

A drawing of a circuit layout

Figure 1: A 64-node parallel prefix tree with small delays for small segments. The leaves are labeled L0 through L63. Shortcut wires are shown as dashed arrows.

Related work

Cheng et al. [3] describe carry-lookahead adder circuitry with O(log N) worst case gate delay using self-timed circuitry, and O(log log N) average case gate delay for addition of random numbers. In contrast, this result addresses gate delay, wire delay, and chip area, and also shows how to achieve corresponding results for any segmented parallel prefix circuit.

Greenberg [4] shows how to implement fat-tree routing network with shortcuts that are similar to the shortcuts used here. An analogous performance property for search trees is the ``finger'' property described by Sleator and Tarjan [8].

In the past, parallel prefix circuits have been important for parallel computers (see, e.g., [7]), but we came across this problem in the context of scaling superscalar processors, where it turns out almost everything done by a superscalar processor can be done asymptotically optimally using segmented parallel prefix circuits [6].

This work appeared in [1].

Research Support

This research is supported in part by the Singapore-MIT Alliance, NSF CAREER Grant 9702980, and NSF Grants ACI-0324974, and CNS-0305606.

References:

[1] Bradley C. Kuszmaul, A Segmented Parallel-Prefix VLSI Circuit with Small Delays for Small Segments. In The 17th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2005), p. 213, Las Vegas, Nevada. July 2005. (Brief announcement.)

[2] D. Brooks and M. Martonosi. Dynamically exploiting narrow width operands to improve processor power and performance. In HPCA'99, pages 13--22, January 1999.

[3] F.-C. Cheng, S. H. Unger, and M. Theobald. Self-timed carry-lookahead adders. IEEE Trans. Comput., 49(7):659--672, July 2000.

[4] R. I. Greenberg. The fat-pyramid and universal parallel computation independent of wire delay. IEEE Trans. Comput., 43(12):1358--1364, 1994.

[5] Bradley. C. Kuszmaul. A segmented parallel-prefix vlsi circuit with small delays for small segments (full version). May 2005.

[6] Bradley C. Kuszmaul, Dana S. Henry, and Gabriel H. Loh. A comparison of asymptotically scalable superscalar processors. Theory of Comput. Syst., 35:129--150, 2002.

[7] Charles E. Leiserson, Zahi S. Abuhamdeh, David C. Douglas, Carl R. Feynman, Mahesh N. Ganmukhi, Jeffrey V. Hill, W. Daniel Hillis, Bradley C. Kuszmaul, Margaret A. St. Pierre, David S. Wells, Monica C. Wong, Shaw-Wen Yang, and Robert Zak. The network architecture of the Connection Machine CM-5. J. Parallel and Dist. Comp., 33(2):145--158, 1996.

[8] D. D. Sleator and R. E. Tarjan. Self-adjusting binary search trees. J. ACM, 32(3):652--686, July 1985.

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