Latest updates for Simd Vectorization

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Recent items include:

  • SIMD and Data-Oriented Design Outside Game Engines
  • OpenVDB Introduces SIMD Framework With Some 2~4x Performance Improvements
  • Go's Improving SIMD Support, Platform-Independent SIMD Interface

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javacodegeeks.com /1 week ago

SIMD and Data-Oriented Design Outside Game Engines

For decades, application developers lived comfortably with a simple mental model of hardware. You write clean object-oriented code, and the compiler optimization passes along with...

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phoronix.com /1 month ago

OpenVDB Introduces SIMD Framework With Some 2~4x Performance Improvements

OpenVDB is the sparse volume data structure and tooling library maintained by the Academy Software Foundation. OpenVDB in turn is used by various CGI software for dealing with spar...

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phoronix.com /3 weeks ago

Go's Improving SIMD Support, Platform-Independent SIMD Interface

A new blog post published on Thursday covers the experimental support for SIMD with the Go programming language. This expanding Go SIMD support also includes a platform-independent...

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habr.com /1 month ago

Пишу алгоритм FFT на Си для процессора Эльбрус: прямая векторизация

Данная статья является продолжением предыдущей статьи. Здесь рассматривается вариант прямой векторизации алгоритма FFT. Перед чтением рекомендуется бегло ознакомиться с предыдуще...

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phoronix.com /1 week ago

Auto Vectorizing The RISC-V Linux Kernel Shows Promising Results

The Linux kernel build for RISC-V doesn't currently make use of the CPU ISA's Vector extension. but leveraging it with compiler auto vectorization is showing the ability to provide...

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phoronix.com /3 weeks ago

SIMDjson 5.0 Released: Still Making JSON Parsing Even Faster

SIMDjson is the open-source, high performance JSON parser that surprisingly began making use of AVX-512 to deliver big performance gains years ago. SIMDjson has continued further r...

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dev.to /5 days ago

MLIR-to-RTL Simulation Flow: From linalg.matmul to a Systolic Array

Introduction Hi! I'd like to share the MVP of my hw-mlir-lab project, where I use MLIR to lower matrix multiplication (matmul) to a systolic array simulated in Verilator....

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medium.com /5 days ago

Zero-Host-Copy Inference: Keeping the CPU Out of the Hot Path in a C++/CUDA Pipeline (165 FPS)

1. Introduction: Anatomy of the BottleneckContinue reading on Medium »

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machinelearningmastery.com /1 month ago

Learn Vectorized Thinking in Python Through Examples

In this article, you will learn how to think in terms of vectorized operations using NumPy, replacing slow Python loops with efficient array-level computations. Topics...

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phoronix.com /1 week ago

Intel ISPC 1.32 Released With AVX10.2 & APX Support, Even AMD Zen 6 Too

Intel ISPC 1.32 released today as the newest version of this Intel Implicit SPMD Program Compiler built atop LLVM/Clang. ISPC is a variant of the C programming language with extens...

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dzone.com /1 month ago

Designing Rayfall: One Expression Language for a Columnar Database

Columnar engines naturally organize computation around vectors to make effective use of single instruction, multiple data (SIMD) instructions. This makes vectors first-class citize...

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machinelearningmastery.com /2 days ago

pgvector vs. Dedicated Vector Databases: A Production Benchmark

Run this on a typical laptop and both systems will report latencies in the low single-digit to tens of milliseconds range, with the exact numbers depending heavily on your CPU, ava...

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dev.to

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habr.com

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medium.com

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