Vendor: CAST Category: Data Compression

GZIP/ZLIB/Deflate Data Compressor

ZipAccel-C is a custom hardware implementation of a lossless data compression engine that complies with the Deflate, GZIP, and ZL…

Overview

ZipAccel-C is a custom hardware implementation of a lossless data compression engine that complies with the Deflate, GZIP, and ZLIB compression standards. 

The core receives uncompressed input files and produces compressed files. No post-processing of the compressed files is required, as the core encapsulates the compressed data payload with the proper headers and footers. Input files can be segmented, and segments from different files can be interleaved at the core’s input.
  
The core’s flexible architecture enables fine-tuning of its compression efficiency, throughput, and latency to match the requirements of the end application. Throughputs in excess of 400 Gbps are feasible even at clock rates as low as 500MHz, and latency can be as small as a few tens of clock cycles.
 
ZipAccel-C offers compression efficiency practically equivalent to today’s popular deflate-based software applications. Analyzing processing speed versus compression efficiency to achieve the best trade-off for a specific system is facilitated by the included software model, and by support from our team of data compression experts. 

ZipAccel-C 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 compression, and optionally from the task of encrypting the compressed stream. Streaming AXI-Stream or native FIFO-like data interfaces ease SoC integration.

Technology mapping is straightforward, as the design is LINT-clean, scan-ready, microcode-free, and uses easily replaceable, generic memory models. Memory blocks can optionally support Error Correction Codes (ECC) to simplify achieving Enterprise-Class reliability requirements. Furthermore, input file segmentation can limit the inter-file latency and helps users achieve Quality of Service (QoS) objectives. 
 

Key features

  • Compression Standards 
    • Deflate (RFC-1951)
    • ZLIB (RFC-1950)
    • GZIP (RFC-1952)
  • Deflate Features
    • LZ77 with configurable block and search window size
    • Static and dynamic Huffman
    • Optional stored deflate blocks 
    • Dynamic mode selection 
  • Flexible Architecture 
    • Fine-tune Throughput, Compression Efficiency, and Latency to match application requirements
      • More than 400Gbps with one core instance, scalable to meet any throughput requirement 
      • Compression efficiency can be on par with Unix/Linux max compression option (gzip -9)  
      • Silicon requirements start from less than 100k gates
      • Under 40 clock cycles for Static Huffman 
    • Configuration options (partial list):
      • Search engine and Huffman encoder architecture
      • History search window size (up to 32KB)
      • Deflate block size
      • Stored blocks support
      • Parallel processing level
  • Easy to Use and Integrate
    • Processor-free, standalone operation  
    • AXI-Stream or native FIFO-like data interfaces
    • Large file segmentation enables meeting QoS objectives
    • Microcode-free, scan-ready design
    • Optional ECC memories
    • Optionally integrated with DMA, encryption or other cores from CAST
    • Complete, turn-key Accelerator Designs available on FPGA boards from different vendor

Block Diagram

Specifications

Identity

Part Number
ZipAccel-C
Vendor
CAST
Type
Silicon IP

Files

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

Provider

HQ: USA

Learn more about Data Compression IP core

Evaluating Lossless Data Compression Algorithms and Cores

Data compression plays a critical role in modern computing, enabling efficient storage and faster transmission of information. Among lossless data compression algorithms, GZIP, ZSTD, LZ4, and Snappy have emerged as prominent contenders, each offering unique trade-offs in terms of compression ratio, speed, and resource utilization. This white paper evaluates these algorithms and their corresponding hardware cores, providing an in-depth comparison to help developers and system architects choose the optimal solution for their specific use case.

Firmware Compression for Lower Energy and Faster Boot in IoT Devices

The phrase “IoT” for Internet of Things has exploded to cover a wide range of different applications and diverse devices with very different requirements. Most observers, however, would agree that low energy consumption is a key element for IoT, as many of these devices must run on batteries or harvest energy from the environment.

Understanding - and Reducing - Latency in Video Compression Systems

In the video world, latency is the amount of time between the instant a frame is captured and the instant that frame is displayed. Low latency is a design goal for any system where there is real-time interaction with the video content, such as video conferencing or drone piloting. But the meaning of “low latency” can vary, and the methods for achieving low latency aren’t always obvious. Here we’ll define and explain the basics of video latency, and discuss how one of the biggest impacts in reducing latency comes from choosing the right video encoding.

Understanding - and Reducing - Latency in Video Compression Systems

In the video world, latency is the amount of time between the instant a frame is captured and the instant that frame is displayed. Low latency is a design goal for any system where there is real-time interaction with the video content, such as video conferencing or drone piloting.

Frequently asked questions about Data Compression IP

What is GZIP/ZLIB/Deflate Data Compressor?

GZIP/ZLIB/Deflate Data Compressor 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.

×
Semiconductor IP