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Advanced Matrix Extensions (AMX), also known as Intel Advanced Matrix Extensions (Intel AMX), are extensions to the x86 instruction set architecture (ISA) for microprocessors from Intel originally designed to work on matrices to accelerate artificial intelligence (AI) and machine learning (ML) workloads. [1]
The Ryzen family is an x86-64 microprocessor family from AMD, based on the Zen microarchitecture.The Ryzen lineup includes Ryzen 3, Ryzen 5, Ryzen 7, Ryzen 9, and Ryzen Threadripper with up to 96 cores.
AVX-512 are 512-bit extensions to the 256-bit Advanced Vector Extensions SIMD instructions for x86 instruction set architecture (ISA) proposed by Intel in July 2013, and first implemented in the 2016 Intel Xeon Phi x200 (Knights Landing), [1] and then later in a number of AMD and other Intel CPUs (see list below).
Equivalent to dst = (-src) AND src: BLSMSK reg,r/m: VEX.LZ.0F38 F3 /2: Generate a bitmask of all-1s bits up to the lowest bit position with a 1 in the source argument. Returns all-1s if source argument is 0. Equivalent to dst = (src-1) XOR src: BLSR reg,r/m: VEX.LZ.0F38 F3 /1: Copy all bits of the source argument, then clear the lowest set bit ...
The GNU Assembler (GAS) inline assembly functions support these instructions (accessible via GCC), as do Intel primitives and the Intel inline assembler (closely compatible to GAS, although more general in its handling of local references within inline code). GAS supports AVX starting with binutils version 2.19.
Transactional Synchronization Extensions (TSX), also called Transactional Synchronization Extensions New Instructions (TSX-NI), is an extension to the x86 instruction set architecture (ISA) that adds hardware transactional memory support, speeding up execution of multi-threaded software through lock elision.
AMD was the first to introduce the instructions that now form Intel's BMI1 as part of its ABM (Advanced Bit Manipulation) instruction set, then later added support for Intel's new BMI2 instructions. AMD today advertises the availability of these features via Intel's BMI1 and BMI2 cpuflags and instructs programmers to target them accordingly. [2]
Intel Integrated Performance Primitives (Intel IPP) is an extensive library of ready-to-use, domain-specific functions that are highly optimized for diverse Intel architectures. Its royalty-free APIs help developers take advantage of single instruction, multiple data (SIMD) instructions.