Computing systems are widely used in medical diagnosis, climate prediction, autonomous
vehicles, etc. As the key part of electronics, the performance of computing systems is crucial …

Aggressive memory density scaling causes modern DRAM devices to suffer from
RowHammer, a phenomenon where rapidly activating (ie, hammering) a DRAM row can …

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 …

In this paper, we explore the possibility of using STT-RAM technology to completely replace
DRAM in main memory. Our goal is to make STT-RAM performance comparable to DRAM …

Solid-state drives (SSDs) are used in a wide array of computer systems today, including in
datacenters and enterprise servers. As the I/O demands of these systems have increased …

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 …

Physically Unclonable Functions (PUFs) are commonly used in cryptography to identify
devices based on the uniqueness of their physical microstructures. DRAM-based PUFs have …

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

Emerging GPGPU architectures, along with programming models like CUDA and OpenCL,
offer a cost-effective platform for many applications by providing high thread level …

The capacity and cost-per-bit of DRAM have historically scaled to satisfy the needs of
increasingly large and complex computer systems. However, DRAM latency has remained …