Over the years, the evolution of DRAM has provided a little improvement in access latencies, but has been optimized to deliver greater peak bandwidths from the devices. The combined bandwidth in a contemporary multi-socket server system runs into hundreds of GB/s. However datacenter scale applications running on server platforms care largely about having access to a large pool of low-latency main memory (DRAM), and in the best case, are unable to utilize even a small fraction of the total memory bandwidth. In this extended abstract, we use measured data from the state-of-the-art servers running memory intensive datacenter workloads like Memcached to argue for main memory design to steer away from optimizing traditional metrics for DRAM desi...
Given a fixed CPU architecture and a fixed DRAM timing specification, there is still a large design ...
textContemporary DRAM systems have maintained impressive scaling by managing a careful balance betwe...
Over the past years, driven by an increasing number of data-intensive applications, architects have ...
Computers used as datacenter servers have usage patterns that differ substantially from those of des...
Disk-oriented approaches to online storage are becoming increasingly problematic: they do not scale ...
The memory hierarchy is predicted to consume up to 40% to 70% of total system power in future data c...
Performance improvements in memory systems have traditionally been obtained by scaling data bus widt...
iii Modern datacenters utilize traditional Ethernet networks to connect hundreds or thousands of mac...
Dynamic Random Access Memories (DRAM) are the dominant solid-state memory devices used for primary m...
<p>Computing systems use dynamic random-access memory (DRAM) as main memory. As prior works have sho...
Technology trends are leading to increasing number of cores on chip. All these cores inherently shar...
The amount of data produced on the internet is growing rapidly. Along with data explosion comes the ...
Dynamic Random Access Memories (DRAM) are the dominant solid-state memory devices used for primary m...
Abstract — This paper presents a simulation-based performance study of several of the new high-perfo...
As device technologies scale in the nanometer era, the current off-chip DRAM technologies are very c...
Given a fixed CPU architecture and a fixed DRAM timing specification, there is still a large design ...
textContemporary DRAM systems have maintained impressive scaling by managing a careful balance betwe...
Over the past years, driven by an increasing number of data-intensive applications, architects have ...
Computers used as datacenter servers have usage patterns that differ substantially from those of des...
Disk-oriented approaches to online storage are becoming increasingly problematic: they do not scale ...
The memory hierarchy is predicted to consume up to 40% to 70% of total system power in future data c...
Performance improvements in memory systems have traditionally been obtained by scaling data bus widt...
iii Modern datacenters utilize traditional Ethernet networks to connect hundreds or thousands of mac...
Dynamic Random Access Memories (DRAM) are the dominant solid-state memory devices used for primary m...
<p>Computing systems use dynamic random-access memory (DRAM) as main memory. As prior works have sho...
Technology trends are leading to increasing number of cores on chip. All these cores inherently shar...
The amount of data produced on the internet is growing rapidly. Along with data explosion comes the ...
Dynamic Random Access Memories (DRAM) are the dominant solid-state memory devices used for primary m...
Abstract — This paper presents a simulation-based performance study of several of the new high-perfo...
As device technologies scale in the nanometer era, the current off-chip DRAM technologies are very c...
Given a fixed CPU architecture and a fixed DRAM timing specification, there is still a large design ...
textContemporary DRAM systems have maintained impressive scaling by managing a careful balance betwe...
Over the past years, driven by an increasing number of data-intensive applications, architects have ...