Add to ORKGHigh Bandwidth Memory (HBM) has been introduced as a solution to DRAMs’ bandwidth and power inefficiency and has enjoyed wide industry adoption in recent years. Since this memory is integrated into a single package along with computation chips, it will take a bite out of the package’s power budget. To remedy this, we can use undervolting (also called voltage under- scaling). The downside of undervolting is that it can cause a malfunction in some parts of the device. In this work, we will present a high-level view of how the fidelity of HBM changes as we decrease its supply voltage.Peer ReviewedPostprint (published version
Abstract—In this paper we present the “Variation Trained Drowsy Cache ” (VTD-Cache) architecture. VT...
Graphics Processing Units (GPUs) and other throughput processing architectures have scaled performan...
Computational application demands do push the scaling of the number of cores, which themselves furth...
High Bandwidth Memory (HBM) has been introduced as a solution to DRAMs’ bandwidth and power ineffici...
Modern computing devices employ High-Bandwidth Memory (HBM) to meet their memory bandwidth requireme...
In this work, we evaluate aggressive undervolting, i.e., voltage scaling below the nominal level to ...
The power and energy efficiency of Field Programmable Gate Arrays (FPGAs) are estimated to be up to ...
Minimizing power consumption continues to grow as a critical design issue for many platforms, from e...
option for CMOS ICs. As the supply voltage of low-power ICs decreases, it must remain compatible wit...
The memory subsystem is responsible for a large fraction of the energy consumed by compute nodes in ...
<p>Over the past two decades, the storage capacity and access bandwidth of main memory have improved...
We propose a novel dynamic voltage scaling (DVS) approach for reliable and energy efficient cache me...
The power consumption of digital circuits, e.g., Field Programmable Gate Arrays (FPGAs), is directly...
Minimizing power consumption continues to grow as a critical design issue for many platforms, from ...
Over the past years, driven by an increasing number of data-intensive applications, architects have ...
Abstract—In this paper we present the “Variation Trained Drowsy Cache ” (VTD-Cache) architecture. VT...
Graphics Processing Units (GPUs) and other throughput processing architectures have scaled performan...
Computational application demands do push the scaling of the number of cores, which themselves furth...
High Bandwidth Memory (HBM) has been introduced as a solution to DRAMs’ bandwidth and power ineffici...
Modern computing devices employ High-Bandwidth Memory (HBM) to meet their memory bandwidth requireme...
In this work, we evaluate aggressive undervolting, i.e., voltage scaling below the nominal level to ...
The power and energy efficiency of Field Programmable Gate Arrays (FPGAs) are estimated to be up to ...
Minimizing power consumption continues to grow as a critical design issue for many platforms, from e...
option for CMOS ICs. As the supply voltage of low-power ICs decreases, it must remain compatible wit...
The memory subsystem is responsible for a large fraction of the energy consumed by compute nodes in ...
<p>Over the past two decades, the storage capacity and access bandwidth of main memory have improved...
We propose a novel dynamic voltage scaling (DVS) approach for reliable and energy efficient cache me...
The power consumption of digital circuits, e.g., Field Programmable Gate Arrays (FPGAs), is directly...
Minimizing power consumption continues to grow as a critical design issue for many platforms, from ...
Over the past years, driven by an increasing number of data-intensive applications, architects have ...
Abstract—In this paper we present the “Variation Trained Drowsy Cache ” (VTD-Cache) architecture. VT...
Graphics Processing Units (GPUs) and other throughput processing architectures have scaled performan...
Computational application demands do push the scaling of the number of cores, which themselves furth...