A case for intra-rack resource disaggregation in HPC

G Michelogiannakis, B Klenk, B Cook, MY Teh… - ACM Transactions on …, 2022 - dl.acm.org
The expected halt of traditional technology scaling is motivating increased heterogeneity in
high-performance computing (HPC) systems with the emergence of numerous specialized …

Investigating hardware acceleration for simulation of CFD quantum circuits

Y Moawad, W Vanderbauwhede… - Frontiers in Mechanical …, 2022 - frontiersin.org
Among the many computational models for quantum computing, the Quantum Circuit Model
is the most well-known and used model for interacting with current quantum hardware. The …

Sixth‐Generation (6G) Mobile Cloud Security and Privacy Risks for AI System Using High‐Performance Computing Implementation

SR Gundu, P Charanarur… - Wireless …, 2022 - Wiley Online Library
The exchange of information from one person to another is called communication.
Telecommunication makes it possible with electronic devices and their tools. The scientist …

Efficient intra-rack resource disaggregation for HPC using co-packaged DWDM photonics

G Michelogiannakis, Y Arafa, B Cook… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
The diversity of workload requirements and increasing hardware heterogeneity in emerging
high performance computing (HPC) systems motivate resource disaggregation. Resource …

Advanced Rival Combatant LIDAR‐Guided Directed Energy Weapon Application System Using Hybrid Machine Learning

SR Gundu, C Panem, J Vijaylaxmi… - Robotic Process …, 2023 - Wiley Online Library
Artificial Intelligence (AI) has been employed in a variety of industries and academic
institutions to tackle particular challenges. In the same way that electricity and computers are …

CNN-Oriented Placement Algorithm for High-Performance Accelerators on Rad-Hard FPGAs

L Sterpone, S Azimi, C De Sio - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) are quickly becoming one of the most common
applications running on hardware accelerators. Considering field programmable gate arrays …

LLVM-based automation of memory decoupling for OpenCL applications on FPGAs

AA Purkayastha, S Rogers, SA Shiddibhavi… - Microprocessors and …, 2020 - Elsevier
Abstract The availability of OpenCL High-Level Synthesis (OpenCL-HLS) has made FPGAs
an attractive platform for power-efficient high-performance execution of massively parallel …

Heterogeneous computing utilizing FPGAs: a new and flexible approach integrating dedicated hardware accelerators into common computing platforms

M Reichenbach, P Holzinger, K Häublein… - Journal of Signal …, 2019 - Springer
Heterogeneous computing plays an ever-increasing role in power-efficient, high-
performance embedded systems for various data processing tasks, such as computer vision …

FPGAs as Hardware Accelerators in Data Centers: A Survey From the Data Centric Perspective

A Kamaraj, V Kumar, PV Prasanth… - 2024 2nd …, 2024 - ieeexplore.ieee.org
The streaming characteristics of the data, which are observed to be highly dynamic, induce
more research challenges. The resource consumption in terms of computation complexity …

Exploring the efficiency of opencl pipe for hiding memory latency on cloud fpgas

AA Purkayastha, S Raghavendran… - 2019 IEEE High …, 2019 - ieeexplore.ieee.org
OpenCL programming ability combined with OpenCL High-Level Synthesis (OpenCL-HLS)
tools have made tremendous improvements in the reconfigurable computing field. FPGAs …