CPUs provide SIMD/vector instructions that apply the same operation to multiple data items. This can reduce energy usage e.g. fivefold because fewer instructions are executed. We also often see 5-10x speedups. Highway makes SIMD/vector programming practical and workable according to these guiding principles: Does what you expect: Highway is a C++ library with carefully-chosen functions that map we
ScaNN (Scalable Nearest Neighbors) is a method for efficient vector similarity search at scale. This code implements [1, 2], which includes search space pruning and quantization for Maximum Inner Product Search and also supports other distance functions such as Euclidean distance. The implementation is designed for x86 processors with AVX2 support. ScaNN achieves state-of-the-art performance on an
XLS implements a High Level Synthesis toolchain that produces synthesizable designs (Verilog and SystemVerilog) from flexible, high-level descriptions of functionality. It is Apache 2 licensed. XLS (Accelerated HW Synthesis) aims to be the Software Development Kit (SDK) for the End of Moore's Law (EoML) era. In this "age of specialization", software and hardware engineers must do more co-design ac
Note If you are unfamiliar with differential privacy (DP), you might want to go through "A friendly, non-technical introduction to differential privacy". This repository contains libraries to generate ε- and (ε, δ)-differentially private statistics over datasets. It contains the following tools. Privacy on Beam is an end-to-end differential privacy framework built on top of Apache Beam. It is inte
nsync is a C library that exports various synchronization primitives: locks condition variables run-once initialization waitable counter (useful for barriers) waitable bit (useful for cancellation, or other conditions) It is not an offical Google product. nsync may be desirable in place of pthread primitives in some cases: - nsync locks are reader-writer locks (but are as efficient as mutexes). -
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