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The almost unlimited possibilities to customize the logic in an FPGA are one of the main reasons for the versatility of these devices. Partial reconfiguration exploits this capability even further by allowing to replace logic in predefined…

Instrumentation and Detectors · Physics 2024-08-19 Marvin Fuchs , Hendrik Krause , Timo Muscheid , Lukas Scheller , Luis E. Ardila-Perez , Oliver Sander

Transformers and vision-language models (VLMs) have emerged as dominant architectures in computer vision and multimodal AI, offering state-of-the-art performance in tasks such as image classification, object detection, visual question…

Hardware Architecture · Computer Science 2025-09-05 Safa Mohammed Sali , Mahmoud Meribout , Ashiyana Abdul Majeed

Adaptive workloads can change on--the--fly the configuration of their jobs, in terms of number of processes. In order to carry out these job reconfigurations, we have designed a methodology which enables a job to communicate with the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-01 Sergio Iserte , Rafael Mayo , Enrique S. Quintana-Orti , Vicenc Beltran , Antonio J. Peña

This thesis expands upon an existing system called Golondrina that performs autonomic workload management among a cluster of hardware nodes running operating system-level virtualization. Golondrina works by identifying localized resource…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-10-15 Alexander Pokluda

Partial Reconfiguration (PR) is a technique that allows reconfiguring the FPGA chip at runtime. However, current design support tools require manual floorplanning of the partial modules. Several approaches have been proposed in this field,…

Hardware Architecture · Computer Science 2019-04-25 Norbert Deak , Octavian Creţ , Horia Hedeşiu

Cloud computing datacenters provide millions of virtual machines in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering the large…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-10 Jammily Ortigoza , Fabio López-Pires , Benjamín Barán

FPGAs have shown great potential in providing low-latency and energy-efficient solutions for deep neural network (DNN) inference applications. Currently, the majority of FPGA-based DNN accelerators in the cloud run in a time-division…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-30 Shulin Zeng , Guohao Dai , Hanbo Sun , Kai Zhong , Guangjun Ge , Kaiyuan Guo , Yu Wang , Huazhong Yang

The multi-pumping resource sharing technique can overcome the limitations commonly found in single-clocked FPGA designs by allowing hardware components to operate at a higher clock frequency than the surrounding system. However, this…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-11 Carl-Johannes Johnsen , Tiziano De Matteis , Tal Ben-Nun , Johannes de Fine Licht , Torsten Hoefler

Floorplanning problem has been extensively explored for homogeneous FPGAs. Most modern FPGAs consist of heterogeneous resources in the form of configurable logic blocks, DSP blocks, BRAMs and more. Very little work has been done for…

Hardware Architecture · Computer Science 2020-11-25 Pingakshya Goswami , Dinesh Bhatia

Hardware accelerators, such as those based on GPUs and FPGAs, offer an excellent opportunity to efficiently parallelize functionalities. Recently, modern embedded platforms started being equipped with such accelerators, resulting in a…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-16 Daniel Casini , Paolo Pazzaglia , Alessandro Biondi , Marco Di Natale

Modern GPU workloads increasingly demand efficient resource sharing, as many jobs do not require the full capacity of a GPU. Among sharing techniques, NVIDIA's Multi-Instance GPU (MIG) offers strong resource isolation by enabling…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-19 Hsu-Tzu Ting , Jerry Chou , Ming-Hung Chen , I-Hsin Chung

One of the important problems for datacenter resource management is to place virtual machines (VMs) to physical machines (PMs) such that certain cost, profit or performance objective is optimized, subject to various constraints. In this…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-07 Xiaoying Zheng , Ye Xia

Cloud computing datacenters provide millions of virtual machines in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering the large…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-11 Jammily Ortigoza , Fabio Lopez-Pires , Benjamın Baran

Virtualization technology facilitates a dynamic, demand-driven allocation and migration of servers. This paper studies how the flexibility offered by network virtualization can be used to improve Quality-of-Service parameters such as…

Networking and Internet Architecture · Computer Science 2010-12-14 Dushyant Arora , Anja Feldmann , Gregor Schaffrath , Stefan Schmid

The primary motivation for uptake of virtualization has been resource isolation, capacity management and resource customization allowing resource providers to consolidate their resources in virtual machines. Various approaches have been…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-09-27 Omer Khalid , Ivo Maljevic , Richard Anthony , Miltos Petridis , Kevin Parrot , Markus Schulz

Recently, FPGA accelerators have risen in popularity as they present a suitable way of satisfying the high-computation and low-power demands of real time applications. The modern electric transportation systems (such as aircraft, road…

Operating Systems · Computer Science 2023-04-05 Anna Panagopoulou , Michele Paolino , Daniel Raho

FPGA designers have traditionally shared a similar design methodology with ASIC designers. Most notably, at design time, FPGA designers commit to a fixed allocation of logic resources to modules in a design. At runtime, some of the occupied…

Hardware Architecture · Computer Science 2020-08-04 Marie Nguyen , Nathan Serafin , James C. Hoe

We use the reconfiguration framework to analyze problems that involve the rearrangement of items among groups. In various applications, a group of items could correspond to the files or jobs assigned to a particular machine, and the goal of…

Data Structures and Algorithms · Computer Science 2024-10-29 Jeffrey Kam , Shahin Kamali , Avery Miller , Naomi Nishimura

Coarse-grained reconfigurable architectures aim to achieve both goals of high performance and flexibility. However, existing reconfigurable array architectures require many resources without considering the specific application domain.…

Hardware Architecture · Computer Science 2011-11-09 Yoonjin Kim , Mary Kiemb , Chulsoo Park , Jinyong Jung , Kiyoung Choi

Network virtualization is a way to simultaneously run multiple heterogeneous architectures on a shared substrate. The main issue in the virtualization of networks is the problem of mapping virtual networks to the substrate network. How to…

Networking and Internet Architecture · Computer Science 2020-05-18 Amir Javadpour , Guojun Wang , Xiaofei Xing