Data movement between the CPU and main memory is a first-order obstacle against improv
ing performance, scalability, and energy efficiency in modern systems. Computer systems …

The energy consumption of DRAM is a critical concern in modern computing systems.
Improvements in manufacturing process technology have allowed DRAM vendors to lower …

The memory system is a fundamental performance and energy bottleneck in almost all
computing systems. Recent system design, application, and technology trends that require …

The memory system is a fundamental performance and energy bottleneck in almost all
computing systems. Recent system design, application, and technology trends that require …

Silicon interposers enable the integration of multiple stacks of in-package memory to provide
higher bandwidth or lower energy for memory accesses. Once the interposer has been paid …

Contemporary discrete GPUs support rich memory management features such as virtual
memory and demand paging. These features simplify GPU programming by providing a …

Main memory is responsible for a large and increasing fraction of the energy consumed by
servers. Prior work has focused on exploiting DRAM low-power states to conserve energy …

Approximate computing explores opportunities that emerge when applications can tolerate
error or inexactness. These applications, which range from multimedia processing to …

As Chip Multiprocessors (CMPs) scale to tens or hundreds of nodes, the interconnect
becomes a significant factor in cost, energy consumption and performance. Recent work has …

Graphics Processing Units (GPUs) exploit large amounts of threadlevel parallelism to
provide high instruction throughput and to efficiently hide long-latency stalls. The resulting …