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ZeroPoint Technologies introduces zstd Decompression Hardware IPAugust 7, 2024 -- ZeroPoint Technologies is proud to announce the availability of zstd decompression as a hardware IP. This innovation brings the power and efficiency of the zstd algorithm to hardware, providing enhanced performance and energy efficiency for semiconductor applications. With this announcement, Zeropoint technologies now offers the only hardware-accelerated solution available for the zstd algorithm. As software-based zstd decompression is already widely used by hyperscalers, and supported natively by many of the most widely used databases, Zeropoint expects the primary customer use cases for this new hardware-accelerated offering will focus on storage in enterprise and hyperscale implementations, meaningfully increasing the decompression speed of stored data, and as a result increasing data bandwidth (by 1.5 - 2 times) compared to software-based implementations.. Critically, as with all of ZeroPoint’s hardware-accelerated optimization solutions, the new zstd offering also enables customers to reclaim the CPU cycles formally associated with software-based implementations of zstd decompression – in some cases enabling 3-5% of overall CPU cycles to be reclaimed, and monetized. Background on zstd Compression Algorithm The zstd (Zstandard) compression algorithm is an advanced, lossless data compression technology. It has quickly become a popular choice for a variety of applications due to its high compression ratios, fast compression and decompression speeds, and efficient resource usage. Zstd is designed to offer the flexibility of adjusting compression levels, making it suitable for different performance needs, ranging from real-time applications to large data archival. Advantages of zstd Decompression Hardware IP:
Potential Applications The zstd decompression hardware IP can be integrated into various applications, providing performance and efficiency improvements:
You can learn all about the technical details in our Product Information here.
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