Digital technologies as enablers of supply chain sustainability in an emerging economy

M Akbari, JL Hopkins - Operations Management Research, 2022 - Springer
Vietnam is a country with significant potential for growth as a global centre for
manufacturing, as supply chains look to reduce their over-reliance on China in the aftermath …

A new adaptive selection strategy for reducing latency in networks on chip

M Trik, H Akhavan, AM Bidgoli, AMNG Molk, H Vashani… - Integration, 2023 - Elsevier
Networks on chips (NoCs) are a concept inspired by computer networks for constructing
multiprocessor systems that can handle communication across processing cores. One of the …

Toward sustainable hpc: Carbon footprint estimation and environmental implications of hpc systems

B Li, R Basu Roy, D Wang, S Samsi… - Proceedings of the …, 2023 - dl.acm.org
The rapid growth in demand for HPC systems has led to a rise in carbon footprint, which
requires urgent intervention. In this work, we present a comprehensive analysis of the …

Sustainable supply chains under risk in the manufacturing firms: an extended double normalization-based multiple aggregation approach under an intuitionistic fuzzy …

L Wang, P Rani - Journal of Enterprise Information Management, 2022 - emerald.com
Purpose In recent years, a number of researchers have attempted to make an integration of
sustainability with supply chain risk management. These studies have led to valued insights …

Application of gamma attenuation technique and artificial intelligence to detect scale thickness in pipelines in which two-phase flows with different flow regimes and …

M Alamoudi, MA Sattari, M Balubaid, E Eftekhari-Zadeh… - Symmetry, 2021 - mdpi.com
Scale deposits can reduce equipment efficiency in the oil and petrochemical industry. The
gamma attenuation technique can be used as a non-invasive effective tool for detecting …

Introducing a precise system for determining volume percentages independent of scale thickness and type of flow regime

AM Mayet, SM Alizadeh, ZA Kakarash, AA Al-Qahtani… - Mathematics, 2022 - mdpi.com
When fluids flow into the pipes, the materials in them cause deposits to form inside the pipes
over time, which is a threat to the efficiency of the equipment and their depreciation. In the …

Sieve: Scalable in-situ dram-based accelerator designs for massively parallel k-mer matching

L Wu, R Sharifi, M Lenjani, K Skadron… - 2021 ACM/IEEE 48th …, 2021 - ieeexplore.ieee.org
The rapid influx of biosequence data, coupled with the stagnation of the processing power of
modern computing systems, highlights the critical need for exploring high-performance …

Paver: Locality graph-based thread block scheduling for gpus

D Tripathy, A Abdolrashidi, LN Bhuyan, L Zhou… - ACM Transactions on …, 2021 - dl.acm.org
The massive parallelism present in GPUs comes at the cost of reduced L1 and L2 cache
sizes per thread, leading to serious cache contention problems such as thrashing. Hence …

KRISP: Enabling kernel-wise right-sizing for spatial partitioned gpu inference servers

M Chow, A Jahanshahi, D Wong - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Machine learning (ML) inference workloads present significantly different challenges than
ML training workloads. Typically, inference workloads are shorter running and under-utilize …

Energy-efficient service placement for latency-sensitive applications in edge computing

G Premsankar, B Ghaddar - IEEE internet of things journal, 2022 - ieeexplore.ieee.org
Edge computing is a promising solution to host artificial intelligence (AI) applications that
enable real-time insights on user-generated and device-generated data. This requires edge …