The data transfer bottleneck in Von Neumann architecture owing to the separation between
processor and memory hinders the development of high-performance computing. The …

DRAM cells in close proximity can fail depending on the data content in neighboring cells.
These failures are called data-dependent failures. Detecting and mitigating these failures …

Stencil computations are commonly used in a wide variety of scientific applications, ranging
from large-scale weather prediction to solving partial differential equations. Stencil …

In this paper, we propose GraphiDe, a novel DRAM-based processing-in-memory (PIM)
accelerator for graph processing. It transforms current DRAM architecture to massively …

The performance gap between memory and CPU has grown exponentially. To bridge this
gap, hardware architects have proposed near-memory computing (also called processing-in …

Bulk bitwise operations, ie, bitwise operations on large bit vectors, are prevalent in a wide
range of important application domains, including databases, graph processing, genome …

DRAM latency is a major bottleneck for many applications in modern computing systems. In
this work, we rigorously characterize the effects of reducing DRAM access latency on 282 …

Data movement between main memory and the processor is a significant contributor to the
execution time and energy consumption of memory-intensive applications. This data …

Data movement between the main memory and the processor is a key contributor to
execution time and energy consumption in memory-intensive applications. This data …

Technological and architectural improvements have been constantly required to sustain the
demand of faster and cheaper computers. However, CMOS down-scaling is suffering from …