Processing data in or near memory (PIM), as opposed to in conventional computational units
in a processor, can greatly alleviate the performance and energy penalties of data transfers …

The motivation for driving semiconductor devices can be found in the development of
advanced computers which can contribute to the betterment in our daily lives. The …

Recent developments in Non-Volatile Memories (NVMs) have opened up a new horizon for
in-memory computing. Despite the significant performance gain offered by computational …

Long DRAM latency is a critical performance bottleneck in current systems. DRAM access
latency is defined by three fundamental operations that take place within the DRAM cell …

As memory scales down to smaller technology nodes, new failure mechanisms emerge that
threaten its correct operation. If such failure mechanisms are not anticipated and corrected …

Main memory, composed of DRAM, is a performance bottleneck for many applications, due
to the high DRAM access latency. In-DRAM caches work to mitigate this latency by …

Processing-in-memory (PIM) architectures cannot use traditional approaches to cache
coherence due to the high off-chip traffic consumed by coherence messages. We propose …

True random number generators (TRNG) sample random physical processes to create large
amounts of random numbers for various use cases, including security-critical cryptographic …

Time series analysis is a key technique for extracting and predicting events in domains as
diverse as epidemiology, genomics, neuroscience, environmental sciences, economics, and …

Many modern workloads such as neural network inference and graph processing are
fundamentally memory-bound. For such workloads, data movement between memory and …