International audienceComputational SRAM (C-SRAM) is a new computing solution for Near-Memory Computing. It allows to perform operations inside or next to the memory without transferring data over the system bus, leading to significantly reducing energy consuption. Operations are realized on large vectors of data occupying the entire physical row of C-SRAM array, leading to high performance gains. This paper presents the C-SRAM solution as an integrated vector-processing unit to be used by a RISC-V processor as an energy-efficient and high performing co-processor. The proposed programming model of the C-SRAM is based on the system bus of a RISC-V processor
The focus of this paper is on designing both a low cost and high performance, high bandwidth vector ...
The well-known Moore's Law is about to end after CMOS devices using 7nm process technology are widel...
Power dissipation and Energy consumption of digital circuits has emerged as an important design para...
International audienceComputational SRAM (C-SRAM) is a new computing solution for Near-Memory Comput...
International audienceThis article presents Computational SRAM (C-SRAM) solution combining In- and N...
International audienceThis paper presents a new methodology for automating the Computational SRAM (C...
International audience—In the context of highly data-centric applications, close reconciliation of c...
International audienceIn-memory computing (IMC) aims to solve the performance gap between CPU and me...
International audienceToday computing centric von Neumann architectures face strong limitations in t...
International audienceFor big data applications, bringing computation to the memory is expected to r...
International audience—This paper presents the computing model for In-Memory Computing architecture ...
Digital computation has penetrated diversity of applications such as audio visual communication, bio...
International audienceAmong various power reduction methods, variable bit-width arithmetic units hav...
The focus of this paper is on designing both a low cost and high performance, high bandwidth vector ...
The focus of this paper is on designing both a low cost and high performance, high bandwidth vector ...
The well-known Moore's Law is about to end after CMOS devices using 7nm process technology are widel...
Power dissipation and Energy consumption of digital circuits has emerged as an important design para...
International audienceComputational SRAM (C-SRAM) is a new computing solution for Near-Memory Comput...
International audienceThis article presents Computational SRAM (C-SRAM) solution combining In- and N...
International audienceThis paper presents a new methodology for automating the Computational SRAM (C...
International audience—In the context of highly data-centric applications, close reconciliation of c...
International audienceIn-memory computing (IMC) aims to solve the performance gap between CPU and me...
International audienceToday computing centric von Neumann architectures face strong limitations in t...
International audienceFor big data applications, bringing computation to the memory is expected to r...
International audience—This paper presents the computing model for In-Memory Computing architecture ...
Digital computation has penetrated diversity of applications such as audio visual communication, bio...
International audienceAmong various power reduction methods, variable bit-width arithmetic units hav...
The focus of this paper is on designing both a low cost and high performance, high bandwidth vector ...
The focus of this paper is on designing both a low cost and high performance, high bandwidth vector ...
The well-known Moore's Law is about to end after CMOS devices using 7nm process technology are widel...
Power dissipation and Energy consumption of digital circuits has emerged as an important design para...