Several manufacturers have already started to commercialize near-bank Processing-In-
Memory (PIM) architectures, after decades of research efforts. Near-bank PIM architectures …

Processing-in-memory (PIM) minimizes data movement overheads by placing processing
units near each memory segment. Recent PIMs employ processing units with a SIMD …

Finite-state automata serve as compute kernels for many application domains such as
pattern matching and data analytics. Existing approaches on GPUs exploit three levels of …

The remarkable progress in artificial intelligence (AI) has ushered in a new era
characterized by models with billions of parameters, enabling extraordinary capabilities …

Regular expression (REGEX) matching tasks drive much research on automata processors
(AP). Among them, the von Neumann AP can efficiently utilize on-chip memory to process …

Irregular applications comprise an increasingly important workload domain for many fields,
including bioinformatics, chemistry, physics, social sciences and machine learning …

Finite automata serve as compute kernels for various applications that require high
throughput. However, despite the increasing compute power of GPUs, their potential in …

Traditional processor architectures utilize an external DRAM for data storage, while they
also operate under worst-case timing constraints. Such designs are heavily constrained by …

Dynamic graph traversals (DGTs) currently are widely used in many important application
domains, especially in this big-data era that urgently demands high-performance graph …

Περίληψη Οι µη-ϰανονιϰές εφαρµογές, όπως οι εφαρµογές επεξεργασίας γράφων,
παράλληλων δοµών δεδοµένων ϰαι επίλυσης αραιών γραµµιϰών συστηµάτων, αποτελούν …