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Compression System

Overview

The ever-increasing demands of network traffic make compression a necessity, to increase apparent bandwidth and reduce congestion, especially on wireless networks such as cellular microwave backhaul, or WiMAX (802.16). Some data, such as audio and video, is already compressed, but there is plenty of redundancy in the remainder, both in the protocol headers and in the payload. Algorithms such as Robust Header Compression (RoHC) are used to reduce the header overhead, but the payload redundancy is best removed using a general purpose compression algorithm such as LZRW, which can be optimised for network frame-sized data chunks.

Helion Payload Compression Solutions

Helion's Compression System utilises one or more of Helion's proven LZRW Compression Cores. The throughput scales almost linearly from 1 to 5 engines, covering a range of 500Mbps-5Gbps with current ASIC and FPGA technologies (depending upon clock speed). The system can be configured for either standard frames (up to ~2K bytes), or jumbo frames (up to ~9K or even ~16K bytes).

It is designed for easy in-line operation with network packets, yet is protocol agnostic. A generic but flexible header pass-thru allows different protocol and encapsulation scenarios. The final re-encapsulation decision is left to the user, either by changing existing protocol type fields or setting flags in proprietary link-layer headers.

The system contains all the logic needed to queue and allocate packets fairly across multiple engines, and to ensure the original order is preserved at the output. Latency is broadly equivalent to the store and forward time, since the whole packet must be seen to make a decision whether compression has succeeded or not.

The Compression System is supported by a testbench which allows arbitrary PCAP format packet captures of real network data to be simulated, to investigate compression performance, and measure throughput and latency.

These high performance cores are available in versions for use in ASIC, Altera, Lattice and Xilinx FPGA, and in common with all Helion IP cores they have been designed with each technology firmly in mind to yield the very best and most efficient results.

Measured Area and Performance

Example figures for 2-engine system with 2K max frame size using LZRW1, showing total of separate Compress and Expand sub-systems.

TARGET THROUGHPUT1 AREA2 RAM2
ASIC (65nm CMOS) 2.6 Gbps <60k gates 304 Kbits RAM
Altera Cyclone IV (C6) 1.6 Gbps 7000 LEs 46 M9Ks
Altera Cyclone V (C6) 2.0 Gbps TBC ALMs 38 M10Ks
Altera Arria II GX (C4) 2.8 Gbps TBC ALMs 46 M9Ks
Altera Arria II GZ (C3) 2.6 Gbps TBC ALMs 46 M9Ks
Altera Arria V GX (C4) 2.2 Gbps TBC ALMs 38 M10Ks
Altera Arria V GZ (C3) 2.8 Gbps TBC ALMs 22 M20Ks
Altera Stratix IV (C2) 2.8 Gbps TBC ALMs 46 M9Ks
Altera Stratix V (C2) 3.4 Gbps TBC ALMs 22 M20Ks
Lattice ECP3 (-8) 1.4 Gbps 4200 slices 22 EBRs
Xilinx Spartan-3A (-5) 1.2 Gbps 3700 slices 22 RAMB16s
Xilinx Spartan-6 (-2) 1.6 Gbps 1300 slices 19 RAMB16s
Xilinx Artix-7 (-2) 2.0 Gbps TBC slices 22 RAMB18s
Xilinx Virtex-5 (-3) 2.6 Gbps TBC slices 22 RAMB18s
Xilinx Virtex-6 (-3) 2.6 Gbps TBC slices 22 RAMB18s
Xilinx Virtex-7 (-2) 2.6 Gbps TBC slices 22 RAMB18s
Xilinx Kintex-7 (-2) 2.6 Gbps TBC slices 22 RAMB18s

1. Throughput figures are per link direction and are typical for the uncompressed interface. They are also slightly data dependant.
2. For jumbo frame support (9K max frame), area increases slightly and RAM increases significantly (see datasheet for details).

Datasheets

For full details of the Helion Compression System, including detailed performance figures for throughput, frame rates, latency, and compression ratio, please contact Helion.

Contact

For more detailed information on this or any of our other products and services, please feel free to email us at helioncores@heliontech.com and we will be pleased to discuss how we can assist with your individual requirements.

 
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