activity
20072024
most citedA Survey on Hardware Accelerators for Large Language Models

42 citations · 72 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR2024★ 4 cited

Hardware Acceleration of LLMs: A comprehensive survey and comparison

Nikoletta Koilia, Christoforos Kachris

Large Language Models (LLMs) have emerged as powerful tools for natural language processing tasks, revolutionizing the field with their ability to understand and generate human-lik…

cs.AR2024★ 42 cited

A Survey on Hardware Accelerators for Large Language Models

Christoforos Kachris

Large Language Models (LLMs) have emerged as powerful tools for natural language processing tasks, revolutionizing the field with their ability to understand and generate human-lik…

cs.NE2016★ 3 cited

BrainFrame: A node-level heterogeneous accelerator platform for neuron simulations

Georgios Smaragdos, Georgios Chatzikonstantis, Rahul Kukreja +8

Objective: The advent of High-Performance Computing (HPC) in recent years has led to its increasing use in brain study through computational models. The scale and complexity of suc…

cs.NI2014★ 23 cited

Network Function Virtualization based on FPGAs:A Framework for all-Programmable network devices

Christoforos Kachris, Georgios Sirakoulis, Dimitrios Soudris

Network Function Virtualization (NFV) refers to the use of commodity hardware resources as the basic platform to perform specialized network functions as opposed to specialized har…

cs.AR2007

Queue Management in Network Processors

I. Papaefstathiou, T. Orphanoudakis, G. Kornaros +3

One of the main bottlenecks when designing a network processing system is very often its memory subsystem. This is mainly due to the state-of-the-art network links operating at ver…