图4. (a)混合位宽量化模型在ResNet50和VGG16上的实现; (b) 面向细粒度数字存算优化的权重驻留数据流 Paper《Addition is Most You Need: Efficient Floating-Point SRAM Compute-in-Memory by Harnessing Mantissa Addition》存内计算在高效加速机器学习任务方面具有巨大潜力。在众多存储器件中,SRAM因其在数字领域的...
Early research in the area of resistive random-access memory (RRAM) compute-in-memory (CIM) focused on demonstrating artificial intelligence (AI) functionalities on fabricated RRAM devices while using off-chip software and hardware to implement essential functionalities such as analogue-to-digital conver...
The development of small, energy-efficient artificial intelligence edge devices is limited in conventional computing architectures by the need to transfer data between the processor and memory. Non-volatile compute-in-memory (nvCIM) architectures have the potential to overcome such issues, but the deve...
To efficiently deploy machine learning applications to the edge, compute-in-memory (CIM) based hardware accelerator is a promising solution with improved throughput and energy efficiency. Instant-on inference is further enabled by emerging non-volatile memory technologies such as resistive random access ...
Dmitriy Setrakyan provided an excellent explanation for in-memory data grids (IMDG) in his blog In-Memory Data Grids... Explained. I will try to provide a similar description for in-memory compute grid (IMCG). Learn more about GridGain in-memory compute
GPU Technology Conference 2021: Nsight Compute 2021.1 - Requests, Wavefronts, Sectors Metrics: Understanding and Optimizing Memory-Bound Kernels with Nsight Compute Learn how you can get the most out of Nsight Compute to identify and solve memory access inefficiencies in your kernel code. This ...
VM-Compute-Instanzen bieten eine Vielzahl von Formen, mit denen Sie Ihre Bereitstellung an eine Vielzahl von Anwendungs- und Workload-Anforderungen anpassen können. Dies umfasst Dense I/O-VMs, die einen Hochleistungsinstanztyp mit großem lokalen, nichtflüchtigen Memory Express-SSD (...
https://registry.khronos.org/OpenGL-Refpages/gl4/html/glMemoryBarrier.xhtml 参数常用 GL_SHADER_STORAGE_BARRIER_BIT ,使用这个函数之后后续使用对应缓冲区的数据的时候,取到的数据必然是Barrier 之前就已经写入的,实现一个强制同步的效果。 代码验证
NVIDIA Nsight Compute ‣ Added support for new CUDA asynchronous allocator attributes in the Memory Pools resources view. ‣ Added a topology chart and link properties table in the NVLink section. ‣ The selected metric column is scrolled into view on the Source page when a new metric is...
Set multiple baselines to compare variations in GPU architecture, kernel launch parameters, memory usage, ... Compare performance metrics between baselines and the current run, including the ability to compare child processes Run from Nsight Compute GUI or from Console Command Line Nsight Compute GUI...