In this article, we present a convex optimization model to design a three dimension (3D)stacked hybrid memory system to improve performance in the dark silicon era. Our convex model optimizes numbers and placement of static random access memory (SRAM) and spin-Transfer torque magnetic random-Access memory(STT-RAM) memories on the memory layer to exploit advantages of both technologies. Power consumption that is the main challenge in the dark silicon era is represented as a main constraint in this work and it is satisfied by the detailed optimization model in order to design a dark silicon aware 3D Chip-Multiprocessor (CMP). Experimental results show that the proposed architecture improves the energy consumption and performanceof the 3D CMPa...
Energy efficiency is the key driver for the design optimization of System-on-Chips for mobile termi...
To sustain processor performance, demand for memory capacity and bandwidth continues to grow. Comput...
The number of concurrently executing processes and their memory demandin multicore systems continue ...
In this article, we present a convex optimization model to design a stacked hybrid memory system to ...
In this article, we present a convex optimization model to design a stacked hybrid memory system for...
Main memories play an important role in overall energy consumption of embedded systems. Using conven...
Uncore components such as on‐chip memory systems and on‐chip interconnects consume a large amount of...
Management of a problem recently known as “dark silicon” is a new challenge in multicore designs. Pr...
Energy consumption becomes the most critical limitation on the performance of nowadays embedded syst...
The emergence of dark silicon - a fundamental design constraint absent in the past generations - bri...
none4siEnergy efficiency is the major optimization criterion for systems-on-chip (SoCs) for mobile d...
The cost of transferring data between the off-chip memory system and compute unit is the fundamental...
The emergence of dark silicon - a fundamental design constraint absent in past generations - brings ...
SRAM consumes a growing fraction of the static power in heterogeneous SoCs, as embedded memories tak...
Continuous semiconductor technology scaling and the rapid increase in computational needs have stimu...
Energy efficiency is the key driver for the design optimization of System-on-Chips for mobile termi...
To sustain processor performance, demand for memory capacity and bandwidth continues to grow. Comput...
The number of concurrently executing processes and their memory demandin multicore systems continue ...
In this article, we present a convex optimization model to design a stacked hybrid memory system to ...
In this article, we present a convex optimization model to design a stacked hybrid memory system for...
Main memories play an important role in overall energy consumption of embedded systems. Using conven...
Uncore components such as on‐chip memory systems and on‐chip interconnects consume a large amount of...
Management of a problem recently known as “dark silicon” is a new challenge in multicore designs. Pr...
Energy consumption becomes the most critical limitation on the performance of nowadays embedded syst...
The emergence of dark silicon - a fundamental design constraint absent in the past generations - bri...
none4siEnergy efficiency is the major optimization criterion for systems-on-chip (SoCs) for mobile d...
The cost of transferring data between the off-chip memory system and compute unit is the fundamental...
The emergence of dark silicon - a fundamental design constraint absent in past generations - brings ...
SRAM consumes a growing fraction of the static power in heterogeneous SoCs, as embedded memories tak...
Continuous semiconductor technology scaling and the rapid increase in computational needs have stimu...
Energy efficiency is the key driver for the design optimization of System-on-Chips for mobile termi...
To sustain processor performance, demand for memory capacity and bandwidth continues to grow. Comput...
The number of concurrently executing processes and their memory demandin multicore systems continue ...