GUGUO CLOUD

With the development of important application fields of electronic information such as cloud storage and Internet of Things, consumer electronics, aerospace, earth resource information, scientific computing, medical imaging and life sciences, and military equipment, today's society is in an era of big data with information explosion. Ultra-high-performance computing with ultra-high speed, high bandwidth, large capacity, high density, low power consumption, and low cost is growing explosively. A traditional computer adopts a von Neumann architecture, in which computing and storage functions are separated, and are completed by a central processing unit (CPU) and a memory, respectively. With the rapid development of microelectronics technology, the performance of CPU and memory, such as speed and capacity, has been rapidly improved. However, due to the limited improvement of the bus speed for transmitting data and instructions, frequent data transmission between CPU and memory has cau...

In the face of increasingly serious storage wall problems, memory access power consumption problems, and the drive brought by artificial intelligence applications, the integration of computational storage/in-memory computing/storage computing provides a promising method. Judging from the current implementation methods, the integration of computational storage/in-memory computing/storage computing is divided into two routes: based on mature volatile storage and immature non-volatile storage. Regardless of the route, there are certain challenges: 1) Based on mature volatile storage: The integration of computational storage/in-memory computing/storage computing in this way requires the fusion of processor technology and memory technology. However, due to the different manufacturing processes of the current processor and the memory, if the function of the memory is to be realized on the processor, the storage density of the memory may be reduced; if the function of the processor is to be r...

Modern electronic equipment is rapidly developing toward intelligence, light weight, and portability, but the challenge of intelligent big data processing and the bottleneck of von Neumann's computing architecture have become one of the key contradictions in the current electronic information field; ) The power consumption and reliability problems brought about further exacerbated the rapid deterioration of this contradiction. In recent years, new data-centric computing architectures, such as computing-in-memory chip technology, have attracted widespread attention, especially in end-side intelligent scenarios. However, based on the consideration of many factors such as resources, delay, cost, and power consumption of end-side devices, the industry puts forward strict requirements for computing-in-memory chips. Therefore, the integration of computing-in-memory media and computing paradigms is particularly important. At the same time, device-chip-algorithm-application cross-layer col...