Process variability and energy consumption are the two most formidable challenges facing the semiconductor industry nowadays. To combat these challenges, we present in this paper the “History and Variation Trained-Cache ” (HVT-Cache) architecture. HVT-Cache enables fine grain voltage scaling within a memory bank by taking into account both memory access pattern and process variability. The supply voltage is changed with alterations in the memory access pattern to maximize power saving, while assuring safe operation (read and write) by guarding against process variability. In a case study, SimpleScalar simulation of the proposed 32KB cache architecture reports over 40 % reduction in power consumption over standard SPEC2000 integer benchmarks...
Complex approaches to fault-tolerant voltage-scalable (FTVS) SRAM cache architectures can suffer fro...
Minimizing power consumption continues to grow as a critical design issue for many platforms, from ...
Improving energy efficiency is critical to increasing computing capability, from mobile devices oper...
Abstract—In this paper we present the “Variation Trained Drowsy Cache ” (VTD-Cache) architecture. VT...
As technology scales, more sophisticated fabrication processes cause variations in many different pa...
Abstract-this paper proposes a novel Process Variation Aware SRAM architecture designed to inherentl...
Abstract—This paper proposes a new fault tolerant cache organ-ization capable of dynamically mapping...
Minimizing power consumption continues to grow as a critical design issue for many platforms, from e...
The memory system presents many problems in computer architecture and system design. An important ch...
IEEE Computer Society Annual Symposium on VLSI : April 7-9, 2008 : Montpellier, FranceThe share of l...
Caches are known to consume a large part of total microprocessor energy. Traditionally, voltage scal...
Caches are known to consume a large part of total microprocessor power. Traditionally, voltage scali...
Process parameter variations are expected to be significantly high in a sub-50-nm technology regime,...
Caches are known to consume a large part of total microprocessor power. Traditionally, voltage scali...
The Process-Variation (PV) effect is a major reliability concern in semiconductor industry as the te...
Complex approaches to fault-tolerant voltage-scalable (FTVS) SRAM cache architectures can suffer fro...
Minimizing power consumption continues to grow as a critical design issue for many platforms, from ...
Improving energy efficiency is critical to increasing computing capability, from mobile devices oper...
Abstract—In this paper we present the “Variation Trained Drowsy Cache ” (VTD-Cache) architecture. VT...
As technology scales, more sophisticated fabrication processes cause variations in many different pa...
Abstract-this paper proposes a novel Process Variation Aware SRAM architecture designed to inherentl...
Abstract—This paper proposes a new fault tolerant cache organ-ization capable of dynamically mapping...
Minimizing power consumption continues to grow as a critical design issue for many platforms, from e...
The memory system presents many problems in computer architecture and system design. An important ch...
IEEE Computer Society Annual Symposium on VLSI : April 7-9, 2008 : Montpellier, FranceThe share of l...
Caches are known to consume a large part of total microprocessor energy. Traditionally, voltage scal...
Caches are known to consume a large part of total microprocessor power. Traditionally, voltage scali...
Process parameter variations are expected to be significantly high in a sub-50-nm technology regime,...
Caches are known to consume a large part of total microprocessor power. Traditionally, voltage scali...
The Process-Variation (PV) effect is a major reliability concern in semiconductor industry as the te...
Complex approaches to fault-tolerant voltage-scalable (FTVS) SRAM cache architectures can suffer fro...
Minimizing power consumption continues to grow as a critical design issue for many platforms, from ...
Improving energy efficiency is critical to increasing computing capability, from mobile devices oper...