AVX (Advanced Vector Extensions) is a technique used to enhance the performance of the PARFES parallel finite element solver for finite element analysis of large structural and solid mechanics problems using multicore computers. The existing dgemm matrix multiplication procedure implemented in the Intel MKL and ACML libraries did not perform well with the AMD Opteron 6276 processor and Bulldozer architecture needed for PARFES algorithm.
Advanced Vector Extensions are extensions to the x86 instruction set architecture for microprocessors from Intel and AMD. These extensions provide new features, new instructions, and a new encoding scheme, resulting in increased processing power and better performance.
AVX-512 is an advanced extension to the x86 platform that doubles the number of available SIMD registers, extends the width of each register from 256 to 512 bits, and includes additional features such as conditional execution and merging, embedded broadcasts, and instruction-level rounding control for floating-point operations.
What is AVX2?
AVX2 (Advanced Vector Extensions 2) is an extension to the AVX instruction set architecture that enhances performance in multicore computers for finite element analysis of large structural and solid mechanics problems.
Which processors support AVX2?
Most modern CPUs from Intel and AMD support AVX2. It was initially introduced in Intel’s Haswell processors and AMD’s Excavator processors.
How does AVX2 improve performance for finite element analysis?
AVX2 provides new instructions for integer and floating-point calculations, including fused multiply-add, gather, and permute instructions. These instructions perform calculations on large sets of data in parallel, resulting in faster processing speeds and improved performance for finite element analysis.
AVX2 is an extension to the AVX instruction set architecture that improves performance on multicore computers for finite element analysis of large structural and solid mechanics problems. With the increasing demand for faster processing speeds, extensions like AVX2 are crucial for improving performance and efficiency.