#cplusplus #avx #avx_512 #avx_instructions #avx2 #avx512 #intrinsics #neon #simd #simd_instructions #simd_intrinsics #simd_library #simd_parallelism #simd_programming #sse42 #wasm
https://github.com/google/highway
https://github.com/google/highway
GitHub
GitHub - google/highway: Performance-portable, length-agnostic SIMD with runtime dispatch
Performance-portable, length-agnostic SIMD with runtime dispatch - google/highway
#typescript #betterstack #boilerplate #clerk #dark_mode #feature_flags #neon #nextjs #posthog #prisma #react #sentry #seo #stripe #tailwindcss #typescript
Next-forge is a ready-to-use template for building Next.js web applications. It gives you a strong foundation to start your project with minimal setup needed. You can easily create your project by cloning the repository using a simple command. This saves you time and effort, allowing you to focus on developing your app instead of setting everything up from scratch. Check the documentation for more details to get started quickly.
https://github.com/haydenbleasel/next-forge
Next-forge is a ready-to-use template for building Next.js web applications. It gives you a strong foundation to start your project with minimal setup needed. You can easily create your project by cloning the repository using a simple command. This saves you time and effort, allowing you to focus on developing your app instead of setting everything up from scratch. Check the documentation for more details to get started quickly.
https://github.com/haydenbleasel/next-forge
GitHub
GitHub - vercel/next-forge: Production-grade Turborepo template for Next.js apps.
Production-grade Turborepo template for Next.js apps. - vercel/next-forge
#cplusplus #aarch64 #arm #arm64 #avx2 #avx512 #c_plus_plus #clang #clang_cl #cpp11 #gcc_compiler #json #json_parser #json_pointer #loongarch #neon #simd #sse42 #vs2019 #x64
The simdjson library is very fast and efficient for parsing JSON files. It uses special computer instructions called SIMD to parse JSON up to 4 times faster than other popular parsers. Here are the key benefits Parses JSON much quicker than other libraries.
- **Easy to Use** Ensures full JSON and UTF-8 validation without losing any data.
- **Automatic Optimization** Designed to avoid unexpected errors and surprises.
Using simdjson can significantly speed up your application's performance when dealing with large amounts of JSON data.
https://github.com/simdjson/simdjson
The simdjson library is very fast and efficient for parsing JSON files. It uses special computer instructions called SIMD to parse JSON up to 4 times faster than other popular parsers. Here are the key benefits Parses JSON much quicker than other libraries.
- **Easy to Use** Ensures full JSON and UTF-8 validation without losing any data.
- **Automatic Optimization** Designed to avoid unexpected errors and surprises.
Using simdjson can significantly speed up your application's performance when dealing with large amounts of JSON data.
https://github.com/simdjson/simdjson
GitHub
GitHub - simdjson/simdjson: Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse…
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks - simdjson/simdjson
#cplusplus #avx #avx_512 #avx_instructions #avx2 #avx512 #intrinsics #neon #simd #simd_instructions #simd_intrinsics #simd_library #simd_parallelism #simd_programming #sse42 #wasm
Highway is a C++ library that helps make software run faster and use less energy. It does this by using SIMD (Single Instruction, Multiple Data) instructions, which let the CPU perform the same operation on many pieces of data at once. This can make programs up to 10 times faster and reduce energy use by up to five times. Highway works on many different types of computers and is easy to use, making it a good choice for developers who want to improve their software's performance.
https://github.com/google/highway
Highway is a C++ library that helps make software run faster and use less energy. It does this by using SIMD (Single Instruction, Multiple Data) instructions, which let the CPU perform the same operation on many pieces of data at once. This can make programs up to 10 times faster and reduce energy use by up to five times. Highway works on many different types of computers and is easy to use, making it a good choice for developers who want to improve their software's performance.
https://github.com/google/highway
GitHub
GitHub - google/highway: Performance-portable, length-agnostic SIMD with runtime dispatch
Performance-portable, length-agnostic SIMD with runtime dispatch - google/highway