International audienceIn-memory computing (IMC) aims to solve the performance gap between CPU and memories introduced by the memory wall. However, it does not address the energy wall problem caused by data transfer over memory hierarchies. This paper proposes the data-locality management unit (DMU) to efficiently transfer data from a DRAM memory to a computational SRAM (C-SRAM) memory allowing IMC operations. The DMU is tightly coupled within the C-SRAM and allows one to align the data structure in order to perform effective in-memory computation. We propose a dedicated instruction set within the DMU to issue data transfers. The performance evaluation of a system integrating C-SRAM within the DMU compared to a reference scalar system archit...
Graphics Processing Units (GPUs) and other throughput processing architectures have scaled performan...
Abstract—Memory channel contention is a critical per-formance bottleneck in modern systems that have...
Von Neumann architecture-based computing systems are facing a von Neumann bottleneck owing to data t...
International audienceThis article presents Computational SRAM (C-SRAM) solution combining In- and N...
International audience—In the context of highly data-centric applications, close reconciliation of c...
International audienceToday computing centric von Neumann architectures face strong limitations in t...
As the performance of DRAM devices falls more and more behind computing capabilities, the limitation...
International audience—This paper presents the computing model for In-Memory Computing architecture ...
International audienceComputational SRAM (C-SRAM) is a new computing solution for Near-Memory Comput...
Memory interconnect has become increasingly important for the electronics community since memory acc...
Digital computation has penetrated diversity of applications such as audio visual communication, bio...
Thesis (Ph. D.)--University of Rochester. Department of Electrical and Computer Engineering, 2016.Si...
The twin demands of energy-efficiency and higher performance on DRAM are highly emphasized in multic...
The memory system is a major bottleneck in achieving high performance and energy efficiency for vari...
(c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for...
Graphics Processing Units (GPUs) and other throughput processing architectures have scaled performan...
Abstract—Memory channel contention is a critical per-formance bottleneck in modern systems that have...
Von Neumann architecture-based computing systems are facing a von Neumann bottleneck owing to data t...
International audienceThis article presents Computational SRAM (C-SRAM) solution combining In- and N...
International audience—In the context of highly data-centric applications, close reconciliation of c...
International audienceToday computing centric von Neumann architectures face strong limitations in t...
As the performance of DRAM devices falls more and more behind computing capabilities, the limitation...
International audience—This paper presents the computing model for In-Memory Computing architecture ...
International audienceComputational SRAM (C-SRAM) is a new computing solution for Near-Memory Comput...
Memory interconnect has become increasingly important for the electronics community since memory acc...
Digital computation has penetrated diversity of applications such as audio visual communication, bio...
Thesis (Ph. D.)--University of Rochester. Department of Electrical and Computer Engineering, 2016.Si...
The twin demands of energy-efficiency and higher performance on DRAM are highly emphasized in multic...
The memory system is a major bottleneck in achieving high performance and energy efficiency for vari...
(c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for...
Graphics Processing Units (GPUs) and other throughput processing architectures have scaled performan...
Abstract—Memory channel contention is a critical per-formance bottleneck in modern systems that have...
Von Neumann architecture-based computing systems are facing a von Neumann bottleneck owing to data t...