Linux 7.4 Kernel Crypto Library Optimized AES Implementations for x86 and RISC-V
Recent Linux kernel cryptographic subsystem performance work by Google engineer Eric Biggers is migrating x86/x86_64 and RISC-V optimized implementations of different AES modes into the `lib/crypto` kernel crypto library. These optimizations will provide faster cryptographic operations.
Summary: Recent Linux kernel cryptographic subsystem performance work by Google engineer Eric Biggers is migrating x86/x86_64 and RISC-V optimized implementations of different AES modes into the
lib/cryptokernel crypto library. These optimizations will provide faster cryptographic operations.
The cryptographic subsystem in the Linux kernel is a fundamental component for system security and data privacy. Algorithms like AES (Advanced Encryption Standard) are widely used in many areas, from disk encryption to network traffic security. This news focuses on improving the performance of AES implementations at the kernel level.
The optimizations involve integrating AES modes specifically designed for x86/x86_64 and RISC-V architectures into the lib/crypto library. This allows cryptographic operations to run more efficiently through hardware acceleration, leveraging processor-specific instruction sets (e.g., AES-NI on x86). Such low-level optimizations contribute significantly to overall system performance.
For live systems and infrastructure, this directly translates to performance gains, especially in services with high I/O loads or those requiring intensive cryptographic operations (e.g., VPN servers, databases, storage systems). Faster encryption and decryption reduce overall latency and decrease CPU utilization. This offers the potential to manage more workloads with fewer hardware resources.
It is important for system engineers to consider such performance improvements when evaluating new kernel versions. Especially for applications running on modern hardware and relying on cryptographic operations, migrating to updated kernel versions can provide significant cost and performance advantages.
🔗 Source: Phoronix Hardware
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