DRC²: Dynamically Reconfigurable Computing Circuit based on Memory Architecture
  
	
  
    	  		  		    		Abstract
    		
			    
				    This paper presents a novel energy-efficient and Dynamically Reconfigurable Computing Circuit (DRC²) concept based on memory architecture for data-intensive (imaging, …) and secure (cryptography, …) applications.  The...				    [ view full abstract ]
			    
		     
		    
			    
				    This paper presents a novel energy-efficient and Dynamically Reconfigurable Computing Circuit (DRC²) concept based on memory architecture for data-intensive (imaging, …) and secure (cryptography, …) applications.  The proposed computing circuit is based on a 10-Transistor (10T) 3-Port SRAM bitcell array driven by a peripheral circuitry enabling all basic operations that can be traditionally performed by an ALU. As a result, logic and arithmetic operations can be entirely executed within the memory unit leading to a significant reduction in power consumption related to the data transfer between memories and computing units. Moreover, the proposed computing circuit can perform extremely-parallel operations to processing large volume of data. A test case based on image processing application and using the saturating increment function is analytically modeled to compare conventional and DRC²-based approaches. It has been shown a reduction of clock cycle number up to 2x. Finally, potential applications and must-to-consider changes at different design levels are discussed.			    
		     
		        
  
  Authors
  
      - 
    Kaya Can Noel
     (CEA)    
 
      - 
    Henri-pierre Charles
     (CEA)    
 
      - 
    Julien Mottin
     (CEA)    
 
      - 
    Bastien Giraud
     (CEA)    
 
      - 
    Grégory Suraci
     (CEA)    
 
      - 
    Sébastien Thuries
     (CEA)    
 
      - 
    Jean-Philippe Noel
     (CEA)    
 
    
  
			Topic Area
		
											Topics: In-memory processing					
	
  
  Session
	
		OS-03A » 		Extending CMOS and In-Memory Processing		(15:30 - Monday, 17th October, Del Mar Ballroom C)
  
  
	  Paper
  
    
    ID75_ICRC2016_finalpaper.pdf  
	
  
			
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