消散                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            非易失性存储器                        
                
                                
                        
                            半导体存储器                        
                
                                
                        
                            限制                        
                
                                
                        
                            内存计算                        
                
                                
                        
                            缩放比例                        
                
                                
                        
                            数码产品                        
                
                                
                        
                            内存刷新                        
                
                                
                        
                            嵌入式系统                        
                
                                
                        
                            计算机存储器                        
                
                                
                        
                            电气工程                        
                
                                
                        
                            计算机硬件                        
                
                                
                        
                            物理                        
                
                                
                        
                            工程类                        
                
                                
                        
                            热力学                        
                
                                
                        
                            几何学                        
                
                                
                        
                            机械工程                        
                
                                
                        
                            数学                        
                
                        
                    
            作者
            
                Anže Mraz,Igor Vaskivskyi,Rok Venturini,Damjan Svetin,Yelyzaveta Chernolevska,D. Mihailović            
         
                    
        
    
            
            标识
            
                                    DOI:10.33180/infmidem2021.302
                                    
                                
                                 
         
        
                
            摘要
            
            Computer technologies have advanced unimaginably over the last 70 years, mainly due to scaling of electrical components down to the nanometre regime and their consequential increase in density, speed and performance. Decrease in dimensions also brings about many unwanted side effects, such as increased leakage, heat dissipation and increased cost of production [1], [2]. However, it seems that one of the biggest factors limiting further progress in high-performance computing is the increasing difference in performance between processors and memory units, a so called processor-memory gap [3]. To increase the efficiency of memory devices, emerging alternative non-volatile memory (NVM) technologies could be introduced, promising high operational speed, low power consumption and high density [4]. This review focuses on a conceptually unique non-volatile Charge Configuration Memory (CCM) device, which is based on resistive switching between different electronic states in a 1T-TaS 2 crystal [5]. CCM demonstrates ultrafast switching speed <16 ps, very low switching energy (2.2 fJ/bit), very good endurance [6] and a straightforward design. It operates at cryogenic temperatures, which makes it ideal for integration into emerging cryo-computing [7] and other high-performance computing systems such as superconducting quantum computers.
         
            
 
                 
                
                    
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