Graph neural networks (GNNs) have attracted increasing interests in recent years. Due to the poor data locality and huge data movement during GNN inference, it is challenging to employ GNN to process large-scale graphs. Fortunately, processing-in-memory
To address customer concerns, Samsung built the processing and memory architecture to existing industry standards. “We can make this a processing memory technology as a drop-in replacement for a commodity DRAM,” said Kim. In addition, a software stack was developed to allow existing application ...
processing-in-memory—HBM-PIM. The architecture adds artificial intelligence processing to high-bandwidth memory chips. The new chips will be marketed as a way to speed up data centers, boost speed in high performance computers and to further...
A memory processing unit architecture can include a plurality of memory regions and a plurality of processing regions interleaved between the plurality of memory regions. The plurality of processing regions can be configured to perform computation functions of a model such as an artificial neural ...
Samsung Electronics Co., Ltd., the world leader in advanced memory technology, today announced that it has developed the industry's first High Bandwidth Memory (HBM) integrated with artificial intelligence (AI) processing power — the HBM-PIM. The new processing-in-memo...
“I/O bound” where “I/O” refers to input/output). Because of its speed, in-memory processing is often described as real-time or at least applied to real-time use cases. And as RAM prices continue to fall, more in-memory processing opportunities arise as they become more economically...
Mutlu, K. Choi, A scalable processing-in-memory accelerator for parallel graph processing, in ISCA (2015a) Google Scholar J. Ahn, S. Yoo, O. Mutlu, K. Choi, PIM-enabled instructions: a low-overhead, locality-aware processing-in-memory architecture, in ISCA (2015b) Google Scholar A...
Microchip Technology, via its Silicon Storage Technology (SST) subsidiary, today announced that its SuperFlash® memBrain™ neuromorphic memory solution has solved this problem for the WITINMEM neural processing SoC, the first in volume production t
4 神经网络架构搜索的例子 Example of Neural Architecture Search ■3 知识蒸馏 Knowledge Distillation ■4 高效DNN模型设计中的考虑因素 Design Considerations for Efficient DNN Models ■■10 高级技术 Advanced Technologies ■1 临内存[12]处理[13] Processing Near Memory 1 嵌入式高密度内存 Embedded High-Densi...
RAPIDx: High-Performance ReRAM Processing In-Memory Accelerator for Sequence Alignment for IEEE TCADIS by Weihong Xu et al.