2014年8月28日 · Single instruction, multiple threads (SIMT) is an execution model used in parallel computing where single instruction, multiple data (SIMD) is combined with multithreading. It is different from SPMD in that all instructions in all "threads" are executed in lock-step.

Tensor Core 是专门用于矩阵乘积累加 (MMA) 数学运算的高性能计算核心，可大大提升 AI 和 HPC 应用的性能。 与标准浮点 ( FP ) 运算、整数 ( INT ) 运算和融合乘加 ( FMA ) 运算相比，在一个 NVIDIA GPU 内跨 SM 并行运行的 Tensor Core 可大幅提高吞吐量和效率。

Presents an execution-driven simulator called SIMT which models the parallel execution of applications on multiprocessor systems with global memory abstractions.

2018年3月22日 · We address three architecture issues in enabling SIMT execution model on multi-core processor, including multithreading execution model, kernel thread context placement, and thread divergence. For the SIMT execution model, we propose a fine-grained multithreading mechanism on an ARM-based multi-core system.

energy-efficient SIMT systems: (1) Detect and optimize for each type of locality exist in the DL and HPC workloads to overcome NUMA effects, (2) Exploit microservices execution similarity and eliminate redundancy to improve data center energy efficiency, and (3) Build extensible and validated SIMT simulation tools to keep-up with industrial ...

2024年11月28日 · SIMT（Single Instruction Multiple Threads，单指令多线程）是英伟达提出基于 GPU 的新概念。 与 SIMD 相比，二者都通过将同样的指令广播给多个执行单元来实现数据并行和计算。 主要的不同在于 SIMD 要求所有的向量元素在统一的同步组里（一个线程内）同步执行，而 SIMT 允许多个线程在一个 Warp 中独立执行。

We extend CUDA's familiar programming model and implement SIMT-inspired strategies for dealing with data and control flow irregularities. Our approach requires only minimal hardware changes and an additional compiler phase.

Instructions are sequentially ordered (Single Instruction Stream). Each instruction refers to distinct elements of one or more array/matrix data structure (Multiple Data Stream). In other terms, at each step of the sequential program, all the data-parallel ‘workers’ (SIMD machine EUs) execute the same instruction on their own local data. i = 0 ..

Recently, single-instruction multiple-thread (SIMT) architecture has been emerging as a promising approach to achieving high throughput computing with high energy efficiency. The most well-known SIMT processors are state-of-the-art graphics processor units (GPUs).

2023年11月26日 · SIMT是在GPU计算中的一种模型，它引入了线程的概念，使得每个线程独立执行相同的指令，但可能处理不同的数据。 SIMT模型通常用于大规模数据并行计算，适用于需要处理大量相似数据的应用，例如图形渲染和深度学习。 特点和优势： 软件线程级并行性：每个线程独立执行，但执行相同的指令。 适用于大规模数据集：适合于同时处理大量数据。 应用领域： GPU计算，尤其是在深度学习训练中。 SIMD以数据元素为单位，一条指令同时作用于多个数 …