A generally used GPU programming methodology is that adjacent threads access data in
neighbor or specific-stride memory addresses and perform computations with the fetched …

Abstract Negative Bias Temperature Instability (NBTI) and Hot Carrier Injection (HCI) are two
of the main reliability threats in current technology nodes. These aging phenomena degrade …

Warp instructions with an identical arithmetic operation on same input values produce the
identical computation results. This paper proposes warp instruction reuse to allow such …

Modern Graphics Processing Units (GPUs) require large hardware resources for massive
parallel thread executions. In particular, modern GPUs have a large register file composed …

Spin-transfer torque magnetic random-access memory (STT-MRAM) is an emerging
nonvolatile memory technology that has been received significant attention due to its higher …

Modern graphics processing units (GPUs) leverage a high degree of thread-level
parallelism, necessitating large-sized register files for storing numerous thread contexts. To …

Graphics processing units (GPUs) achieve high throughput by exploiting a high degree of
thread-level parallelism (TLP). To support such high TLP, GPUs have a large-sized register …

Analytic processing systems have been traditionally designed to optimize time performance,
leaving energy as a secondary aspect. More recently, during the past decade, there has …

Compression techniques at the last-level cache and the DRAM play an important role in
improving system performance by increasing their effective capacities. A compressed block …

Nowadays, GPUs sit at the forefront of high-performance computing thanks to their massive
computational capabilities. Internally, thousands of functional units, architected to be fed by …