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Taking a step back from https://github.com/RustCrypto/traits/pull/354, I thought it'd be good to look how and where ILP and SIMD parallelism is currently used across the project as a whole, and how th…
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This issue (motivated by https://discourse.julialang.org/t/flux-vs-pytorch-cpu-performance/42667/25) is intended to be a high level overview of the common bottlenecks that show up in common models. Th…
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为什么说SIMD也有多个处理器？
>A SIMD computer consists of n identical processors, each with its own local memory, where
it is possible to store data. All processors work under the control of a single instruct…
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**Batch knnQueries:**
The method `knnQuery(query_point, k)` takes `float[]` as query point. What if we want to perform batch queries for `float[][]` type multiple elements from `index`? (This feature…
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As we know. 😊
RVV (RISC-V Vector) is a vector processing extension for the RISC-V instruction set architecture (ISA). It's designed to provide high-performance computing capabilities for applicatio…
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While VDF compuation is sequential (by design), there may well be applications that require performing many simultaneous VDF computations with similar parameters. This is a natural fit for parallelis…
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What does #pragma omp simd actually do on the GPU ?
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## Background
SIMD (Single Instruction Multiple Data) works by providing specialized instructions for large 128 bit (or more) registers that provide the potential for greater parallelism. For examp…
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This will help describe type requirements involving extents. E.g. we can just say the requirement is ``is_extents_v == true``.
Look to the SIMD types paper/Parallelism TS v2 for examples of how thi…
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As I discussed briefly with @c42f in https://github.com/JuliaArrays/StaticArrays.jl/pull/702#discussion_r379269102, using the divide-and-conquer approach in `reduce` on static arrays may be useful for…