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+# zlib-accel: Compression Acceleration with Intel Technology
+
+Although zlib is widely used and provides excellent compression ratios, its
+relatively high CPU usage can limit overall system performance. The zlib-accel
+shim layer addresses this performance bottleneck by leveraging Intel's hardware
+acceleration capabilities built into 4th Gen Intel® Xeon® processors and later.
+Specifically, it relies on Intel® QuickAssist Technology (Intel® QAT) and
+Intel® In-Memory Analytics Accelerator (Intel® IAA). The shim layer's unique
+value proposition lies in its transparent approach, which serves as a drop-in
+replacement requiring no code modifications. This distinguishes it from other
+acceleration solutions that require application modifications for
+implementation.
+
+By automatically routing compression workloads to dedicated hardware
+accelerators, zlib-accel frees valuable CPU resources for other
+applications while simultaneously boosting compression performance.
+This transparent integration removes traditional barriers to hardware
+acceleration adoption, making it accessible to both legacy applications and new
+deployments with little complexity and development overhead. The solution
+successfully bridges the gap between specialized hardware requirements and
+practical application deployment, which unlocks greater infrastructure value for
+increasingly demanding data center environments.
+
+Comprehensive performance evaluations with Apache Cassandra, PostgreSQL, and
+RocksDB benchmarking utilities demonstrate substantial improvements in both
+throughput and latency. The hardware accelerators consistently outperform not
+only standard zlib implementations but also modern optimized compression
+algorithms like zstd and LZ4. They also maintain competitive compression
+ratios. For more information, refer to the resources linked below.
+
+- [White Paper](https://cdrdv2-public.intel.com/913308/zlib-acceleration-white-paper.pdf)
+- [GitHub Repository](https://github.com/intel/zlib-accel)