ATLAS II: Optimizing a 10Gbps Single-Chip ATM Switch

Dionisios Pnevmatikatos and George Kornaros
Institute of Computer Science (ICS)
Foundation for Research & Technology - Hellas (FORTH)
P.O.Box 1385, Heraklio, Crete, GR-711-10 GREECE

12th Annual IEEE 1999 International ASIC/SOC Conference,
Washington DC, USA, 15-18 September 1999
© Copyright 1999 IEEE

Table of Contents (Sections in this document):



We describe ATLAS II, an optimized version of the ATLAS I ATM switch. While in ATLAS I we concentrated on correctness, in ATLAS II we concentrate on optimizing the area and the performance of the switch. To achieve these goals we utilize improved design techniques and circuitry, and we eliminate functionalities of marginal benefit. Our results show that we can achieve significant performance and cost benefits, requiring only a small increment in manpower.

1. Introduction

Asynchronous Transfer Mode (ATM) networks have become mainstream for wide area networks (WANs) and also in local area networks. ATM was originally designed to carry real-time traffic and data, and as a consequence, ATM networks can efficiently handle voice, video and data making them ideal for multimedia-type applications.

ATLAS I (ATm multi-LAne backpressure Switch One) is a high performance, single chip ATM switch designed in (the Computer Architecture and VLSI Systems Division, of the Institute of Computer Science of) FORTH, Crete, Greece, to provide a powerful, yet cost effective building block for the creation of ATM networks [1, 2, 3]. ATLAS I combines several features that are desirable for building such networks:

The design and implementation of ATLAS I concentrated first on specifying an aggressive and effective switch architecture, and then on the rapid achievement of a correct and functional chip, rather than concentrating on an optimized implementation. For example, the chip area dedicated to the entire switch was conservatively set to tex2html_wrap_inline258 during the initial phase of the project. Consequently, we were not pressed to economize area during the implementation; in fact we traded area for ease of implementation whenever it helped to speed the design process.

In this paper we attack the problem of overall efficiency of the ATLAS ATM switch and we show that relatively minor changes in the functionality and in the implementation circuitry can have a significant impact on the overall area of the switch (i.e. on its cost), as well as on the cut-through latency of cells through the switch (i.e. on its performance). The rest of this paper is structured as follows: In section 2 we briefly describe the main features of ATLAS I. Next, in section 3, we describe a re-design of ATLAS I, and we show how much more compact the chip could be made, while maintaining the same logic and functionality. In section 4 we describe ATLAS II, an improved version of ATLAS I; here we attack the problem of overall efficiency, we allow changes in the functionality, and we remove features that are not worth their cost (as described in [3]). Finally, we present our conclusions in section 5.

2. ATLAS I Architecture

ATLAS I is a 6 million transistor chip designed in a 0.35 micron CMOS technology with five metal layers provided by ST Microelectronics. It features 16 input and 16 output ports (links) each operating at 622Mbits/s [4] for an aggregate outgoing throughput of 10Gbits/s; the links use the IEEE 1355 ``HIC/HS'' protocol [5]. The switch core operates at 50 MHz and achieves a sub-microsecond cell cut-through latency. Buffer space for the ATM cells is provided in the form of a 256-cell (entry) shared buffer, partitioned into multiple logical output queues; ATLAS I also supports three levels of priorities, multicasting and header translation.

The most distinctive and innovative feature of ATLAS I is its (optional) credit-based flow control (backpressure). A cell in a backpressured service class (priority level) can only depart if it acquires both a buffer-pool credit for its outgoing link and a flow-group credit for its connection. A flow group is a set of connections that are flow-controlled together; ATLAS I supports up to 2 thousand flow groups per outgoing link. Switching fabrics built with internal backpressure combine the high performance of output queuing with the low cost of input buffering; additionally, these fabrics never drop cells of data connections, while they fully and fairly utilize all the available transmission capacity. An evaluation performed at FORTH shows that the credit protocol offers superior performance, especially in isolating well-behaved connections from bursty and hot-spot traffic [6]. The advantages of the credit-based flow control have also been underlined by other researchers [7, 8] and products [9].

ATLAS I also provides for efficient network load monitoring by means of accelerated Cell Loss Probability (CLP) measurement hardware. Very often in high-speed networks the probability of cell loss (for non-backpressured traffic) is so small that measuring it requires a very long observation period. The ATLAS I CLP hardware measures the cell loss rate of an emulated set of small buffers. Software can then use these measurements (over short periods of time) to extrapolate the CLP of the actual traffic [10]. ATLAS I also provides hooks for switch management through the network: special management cells addressed to an internal management port, can execute read and write commands to any of the internal structures of the switch. The results of these operations are packed in a reply cell and returned to the sender. More details on the architecture of ATLAS I can be found at

3. ATLAS I Implementation

In this section we present how efficient the implementation of ATLAS I would have been, had we concentrated on area reduction rather than on prototyping speed and ease of implementation. The area that is absolutely necessary depends on several factors but can be roughly categorized into: (i) storage for cells, routing tables and credits, (ii) logic for interfacing the transceivers to the switch core, and (iii) logic that implements the crossbar switch and manages the entire chip. These abstract categories apply to all switches that provide functionality similar to the one offered by ATLAS I, and the cost estimates we present here can be easily used to extrapolate the cost of a switch similar to ATLAS I.

3.1 Area optimizations

Figure 1(a) shows the floorplan of the ATLAS I chip as was fabricated in January 1999. As mentioned earlier, the external dimensions of the die were set in the beginning of the design to tex2html_wrap_inline260 . Similarly, the area dedicated to the transceiver logic was also allocated in the beginning of the design. That gave us plenty of area, which we used to maximize the speed and ease of implementation. We placed and routed each of the 15 sub-blocks of the switch core individually and then we used these ``hard-blocks'' to synthesize the switch. This approach minimized the running time of the placement and routing tools and gave a natural isolation of faults. The blocks were set by high level functionality such as cell buffering, header processing, etc. It is obvious by examining the floorplan that there is significant amount of empty space between modules. Not visible in the floorplan is the utilization of space dedicated to logic (i.e. inside the designated blocks); on the average the standard cell area utilization was about 70%.


Figure 1: ATLAS I floorplan: (a) as was fabricated on January 1999, and (b) compacted for minimal area.

Starting with this first implementation, we need to remove all the design waste and produce a compacted implementation of ATLAS I, so we can obtain a meaningful base for comparisons. We achieved this by compacting both the high speed serial transceivers and the switch core. In the core of the switch we removed the block boundaries that are visible in Figure 1(a). The resulting new floorplan for ATLAS I is shown in Figure 1(b); the dimensions are now tex2html_wrap_inline262 , a significant improvement in the die size (47%). The standard cell area utilization is set to a comfortable 80% which, according to our experience, is low enough to produce satisfactory results with few place and route iterations.

The compacted implementation of ATLAS I is identical to the original one in every respect, except one: the total number of pads. In ATLAS I, the unused east and west side pads were used to implement a microprocessor interface, and four low-speed parallel interfaces for test purposes. In the new area-effective implementation the perimeter and hence the number of pads is smaller so we had to reduce the number of the parallel interfaces down to two, retaining some of the ability to perform low speed testing, while reducing the overall number of pads.

Summarizing, we used a very simple compacting methodology in order to achieve an area-effective implementation of ATLAS I; in the rest of this paper we will use this implementation as the base for area comparisons.

4. ATLAS II: ATLAS I Improved

To further optimize the implementation cost and the performance of he switch we need to utilize better (more efficient) circuitry, and modify the functionality provided by the switch. First we concentrate on the circuitry.

4.1 Area optimizations: Circuitry

The ATLAS I implementation suffers from several restrictions of the implementation technology that was available to us. For example, the Credit Table is organized as a table of 2K entries by 16 bits. Each bit is set when a credit is received and an entire row is checked when a cell arrives to check if it has the necessary credits. Since each bit can be written individually, we need bit-wise write capabilities. Unfortunately, the memory generator that was available to us can only generate memories of at least 2 bit width. The credit table implementation in ATLAS I uses 16 of these memories, wasting 50% of the total storage. However, it is possible to use wide memories and use glue logic to provide the appearance of bit-wise writes by using read-modify-write cycles. The solution, described in [11], uses n (16/n)-bit wide memories and manages them independently to achieve the required throughput; for ATLAS II we chose to use two 8-bit wide memories.

Another large area penalty in ATLAS I is the CAM used to match incoming cell headers to the appropriate parameters for their handling. This is a 40 entry 37-bit CAM that drives a tex2html_wrap_inline270 bit memory. In ATLAS I this was implemented with semi-custom logic and required a total area of tex2html_wrap_inline272 . For a quick comparison, the ATLAS I implementation contains a tex2html_wrap_inline274 -bit CAM designed in full custom VLSI that occupied only tex2html_wrap_inline276 [12]. It is clear that the area efficiency of the semi-custom CAM is very low, so for ATLAS II we designed the header matching CAM in full-custom VLSI. This full-custom CAM implements the same functionality and interface, but requires only tex2html_wrap_inline278 , corresponding to an area reduction of 86 %. Furthermore, the operating speed of the full-custom CAM is 2 times larger than the semi-custom one.

The third and final space optimization is in the interfaces that connect the switch core to the high-speed serial links. Each of the 16 interfaces contains a 256-entry memory that stores credits until they can be transmitted. The need for this memory arises from the restriction that at each cell time (33 cycles) at most two credits can be transmitted to the link (to keep down the required rate of handling incoming credits at neighbor ATLAS switches), but up to 16 credits can be generated inside the core. Despite the fact that the steady-state rate is only one credit per cell time, in the worst case up to 256 credit can accumulate in the credit queue of a link; the value 256 is determined by the size of the cell buffer, since each departing cell may generate a credit. However, this worst case scenario can only happen for one of the output interfaces, while all of them contain 256-entry memories. We can reduce the required area by providing smaller individual queues for each link and maintain an overflow queue that will be used when the smaller queues fill-up [13]. In ATLAS II we opted for a 128-entry queue per I/O link interface, with a centralized overflow queue of 128 entries.

4.2 Area optimizations: Functionality

Additional area reduction can be obtained by removing functionality that is not worth its cost. In [3] we show how the table based header translation while seemingly a desirable feature, is actually of marginal value. Intuitively the reason is as follows. ATLAS I provides a relatively small translation table of 4096 entries. Small networks can be organized so that VP/VC translation is not needed. For large networks on the other hand, the 4K table will not be sufficiently large. In ATLAS II, we removed this functionality; the removal of the corresponding memory reduces the area by tex2html_wrap_inline272 .

Putting together all the optimizations we described in this section, we arrived at the final floorplan for the ATLAS II switch shown in Figure 2. The dimensions of the die are tex2html_wrap_inline282 , giving an improvement of 20% of the die area compared to the compacted implementation of ATLAS I.

Figure 2: ATLAS II floorplan.

4.3 Latency Optimizations

After minimizing the area of the switch, we proceed on improving its performance. In terms of throughput, the switch can sustain the peak bandwidth in both the receive as well as on the transmit sides. The only other raw performance parameter of the switch is the minimum latency observed by a cell through the switch (cell cut-through latency). This latency is more important for data traffic (e.g. a network connecting workstations into a cluster), than for multimedia traffic which puts more stringent demands on bandwidth.

In ATLAS I, cell processing begins as soon as the cell data are received and are transferred in parallel from the transceivers to the switch core. These data are clocked with a recovered clock and must be synchronized with a different clock before we can use them in the core. Next comes a small elastic buffer, required to guarantee uninterrupted delivery of the cell (an implicit assumption in our implementation) in face of possible transmission frequency variations between chips. After the elastic buffer, the cell data are sent to data buffers, while the header is presented to the header processing pipeline which contains three major functions: header serializing, matching headers to the corresponding processing parameters, and the actual header processing (routing table access, possible header translation, credit handling, etc). After this processing the cell is ready to be inserted in the appropriate queues and be stored into the cell buffer. Assuming the cell can be scheduled for departure immediately, the scheduler will notice the availability of a cell in a queue and schedule the cell for transmission, informing the cell buffer to begin fetching the data of the cell. The data are then presented to the output elastic buffer, and from there they are sent to the serial transceiver. The first column of Table 1 presents the break-down of the ATLAS I cell cut-though latency according to the individual functions.

Most of the types of the described latencies are inherent to the overall structures of the switch. For example, synchronizing the incoming cell data is unavoidable; similarly, the headers must be serialized and the routing table must be consulted before we can transmit the cell to the correct output port. The individual latencies of these functions however, depend on the exact assumptions and design choices. In ATLAS I, we conservatively allowed two cycles for header serializing, another 2 cycles for the CAM based parameter mapping and three cycles for the actual header processing. Here we use three distinct tools to reduce this latency. First, by exploiting the complete duration of a cycle we can reduce the header serializing latency to a single cycle. Second, the full-custom VLSI CAM in addition to being smaller is also much faster, reducing the latency for the parameter matching to a single cycle. Third, as described earlier, in ATLAS II we removed the table-based header translation functionality; a fortunate side-effect of this change is that it removes a dependency from header processing. Intuitively, we can think of header processing as the following sequence: generate routing and translation address, access table for new header, compute parameters (credits, etc) for new header. Removing the table access for the new header allowed us to use only two pipeline stages for header processing.

One important latency reduction technique is to process the incoming headers in parallel with the (data-related) elastic buffering. That is, we can bypass the input elastic buffer and feed incoming headers directly into the header processing pipeline reducing in this way the observed latency for headers; the longer observed latency for the data of the cell will then be hidden by header processing latency. This improvement saves a total of six cycles (three in the elastic buffering and another three in the header processing, but requires extra paths to drive the 40-bit header from each input port to the header serializer (in ATLAS I we "eavesdrop" the 16-bit cell data on their way to the cell buffer to obtain a copy of the header). One final reduction in latency can be achieved in the cell buffer and crossbar of the switch: since each bank of the cell memories is small ( tex2html_wrap_inline286 bits), their access time is also small. We exploit this fact and merge the two distinct pipeline stages of memory read and crossbar operation into a single one, reducing the cell buffering latency from 3 to 2 cycles.

Table 1: Cut-Through Latencies for ATLAS I and ATLAS II.

The final cut-through latency breakdown is shown in the second columns of table 1. In ATLAS II the total latency is 20 cycles compared to 30 for ATLAS I, corresponding to an improvement of 33%. Observing Table 1, we can see that the bulk of the latency is in the elastic buffering, which is unavoidable considering the +-10% frequency tolerance of the switch. Conceivably, one could attempt to shortcut the queue handling to remove one or perhaps two more cycles from the dependence path. However, this optimization can be successful only if the output part of the switch is idle, i.e. it is not useful when the switch operates at full bandwidth. We believe that the benefits of this optimization are limited.

5. Conclusions

ATLAS I is an aggressive single chip ATM switch, and a powerful building block for the construction of ATM networks. In this paper we described ATLAS II, an improved implementation of ATLAS I that achieves the same throughput, using about 20% smaller die area compared to an area efficient implementation of ATLAS I and 55% smaller compared to the original ATLAS I prototype. The economized area can either reduce the chip cost, or can be devoted to other functions, such as a larger cell buffer. In addition, ATLAS II also reduces the cut-through latency by 30% from 30 to 20 cycles, improving the performance of the switch in latency-aware environments such as multicomputer networks, or networks for clusters of workstations, etc. The effort required to achieve these benefits is reasonable, since we are based on a systematic identification and solution of each of the few important design bottlenecks; these same reasons make this methodology a general one. We estimate that the ATLAS II implementation would add less than 6 man-months to the 15 man-years required for the ATLAS I implementation, while a simple re-implementation of ATLAS I would add around 2 man-months to it, and we believe that the benefits clearly outweigh the required effort.


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ATLAS II: Optimizing a 10Gbps Single-Chip ATM Switch

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