Vendor: CAST Category: Data Compression

GUNZIP/ZLIB/Inflate Data Decompression

ZipAccel-D is a custom hardware implementation of a lossless data decompression engine that complies with the Inflate/Deflate, GZ…

Overview

ZipAccel-D is a custom hardware implementation of a lossless data decompression engine that complies with the Inflate/Deflate, GZIP/GUNZIP, and ZLIB compression standards. 

The core features fast processing, with low latency and high throughput. On average the core outputs three bytes of decompressed data per clock cycle, providing over 15Gbps in a typical 40nm technology. Designers can scale the throughput further by instantiating the core multiple times to achieve throughput rates exceeding 100Gbps. The latency is in the order of a few tens of clock cycles for blocks coded with static Huffman tables, and typically less than 2,000 cycles for blocks encoded with dynamic Huffman tables.

The decompression core has been designed for ease of use and integration. It operates on a standalone basis, off-loading the host CPU from the demanding task of data decompression. The core receives compressed input files and outputs decompressed files. No preprocessing of the compressed files is required, as the core parses the file headers, checks the input files for errors, and outputs the decompressed data payload. Featuring extensive error tracking and reporting errors, the core enables smooth system operation and error recovery, even in the presence of errors in the compressed input files.  Furthermore, internal memories can optionally support Error Correction Codes (ECC) to simplify the achievement of Enterprise-Class reliability or functional safety requirements. 

The ZipAccel-D core is a microcode-free design developed for reuse in ASIC and FPGA implementations. Streaming data, optionally bridged to AMBA AXI4-stream, interfaces ease SoC integration. Technology mapping is straightforward, as the design is scan-ready, microcode-free, and uses easily replaceable, generic memory models. 
 

Key features

  • Compression Standards 
    • ZLIB (RFC-1950)
    • Inflate/Deflate (RFC-1951)
    • GZIP/GUNZIP (RFC-1952)
  • Inflate/Deflate Features
    • Up to 32KB history window size
    • All Deflate block types 
      • Static and dynamic Huffman-coded blocks
      • Stored Deflate blocks 
  • High Performance & Low Latency 
    • Three bytes per clock average processing rate, for throughputs exceeding 20Gbps in modern ASIC technologies, and scalable to more than 100Gbps with multiple core instances
    • Latency from 20 clock cycles for Static Huffman blocks, and typically less than 2000 cycles for Dynamic Huffman Blocks 
  • Easy to Use and Integrate
    • Processor-free, standalone operation  
    • Extensive error-catching & reporting for smooth operation and recovery in the presence of errors
      • Header syntax errors
      • CRC/Adler 32 errors
      • File size errors
      • Coding errors
      • Huffman tables errors
      • Non-correctable ECC memory errors
    • Optional ECC memories  
    • Streaming AXI-Stream or native FIFO-like data interfaces
    • Microcode-free, LINT-clean, scan-ready design
    • Complete, turn-key accelerator designs available on FPGA boards from different vendors
  • Configuration Options
    • Synthesis-time configuration options allow fine-tuning the core’s size and performance (partial list):
      • Input and output bus width
      • FIFO Sizes
      • Maximum history window
      • Static-only, or dynamic and static Huffman tables support
         

Block Diagram

Specifications

Identity

Part Number
ZipAccel-D
Vendor
CAST
Type
Silicon IP

Files

Note: some files may require an NDA depending on provider policy.

Provider

HQ: USA

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Frequently asked questions about Data Compression IP

What is GUNZIP/ZLIB/Inflate Data Decompression?

GUNZIP/ZLIB/Inflate Data Decompression is a Data Compression IP core from CAST listed on Semi IP Hub.

How should engineers evaluate this Data Compression?

Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this Data Compression IP.

Can this semiconductor IP be compared with similar products?

Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.

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