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20162026
most citedK-Means Clustering on Noisy Intermediate Scale Quantum Computers

26 citations · 46 across the 6 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.ET201926 cited

K-Means Clustering on Noisy Intermediate Scale Quantum Computers

Sumsam Ullah Khan, Ahsan Javed Awan, Gemma Vall-Llosera

Real-time clustering of big performance data generated by the telecommunication networks requires domain-specific high performance compute infrastructure to detect anomalies. In th…

cs.ET201913 cited

Support Vector Machines on Noisy Intermediate Scale Quantum Computers

Jiaying Yang, Ahsan Javed Awan, Gemma Vall-Llosera

Support vector machine algorithms are considered essential for the implementation of automation in a radio access network. Specifically, they are critical in the prediction of the…

cs.AR2019

Near-Memory Computing: Past, Present, and Future

Gagandeep Singh, Lorenzo Chelini, Stefano Corda +5

The conventional approach of moving data to the CPU for computation has become a significant performance bottleneck for emerging scale-out data-intensive applications due to their…

cs.PF2019

Platform Independent Software Analysis for Near Memory Computing

Stefano Corda, Gagandeep Singh, Ahsan Javed Awan +2

Near-memory Computing (NMC) promises improved performance for the applications that can exploit the features of emerging memory technologies such as 3D-stacked memory. However, it…

cs.DC20197 cited

Memory and Parallelism Analysis Using a Platform-Independent Approach

Stefano Corda, Gagandeep Singh, Ahsan Javed Awan +2

Emerging computing architectures such as near-memory computing (NMC) promise improved performance for applications by reducing the data movement between CPU and memory. However, de…