Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Awan, Ahsan Javed"'
Autor:
Awan, Ahsan Javed, Aliyeva, Fidan
FPGAs are increasingly being deployed in the cloud to accelerate diverse applications. They are to be shared among multiple tenants to improve the total cost of ownership. Partial reconfiguration technology enables multi-tenancy on FPGA by partitioni
Externí odkaz:
http://arxiv.org/abs/2112.12836
Autor:
Corda, Stefano, Kumaraswamy, Madhurya, Awan, Ahsan Javed, Jordans, Roel, Kumar, Akash, Corporaal, Henk
Real-world applications are now processing big-data sets, often bottlenecked by the data movement between the compute units and the main memory. Near-memory computing (NMC), a modern data-centric computational paradigm, can alleviate these bottleneck
Externí odkaz:
http://arxiv.org/abs/2106.15284
Autor:
Corda, Stefano, Veenboer, Bram, Awan, Ahsan Javed, Kumar, Akash, Jordans, Roel, Corporaal, Henk
Modern radio telescopes like the Square Kilometer Array (SKA) will need to process in real-time exabytes of radio-astronomical signals to construct a high-resolution map of the sky. Near-Memory Computing (NMC) could alleviate the performance bottlene
Externí odkaz:
http://arxiv.org/abs/2005.04098
Real-time clustering of big performance data generated by the telecommunication networks requires domain-specific high performance compute infrastructure to detect anomalies. In this paper, we evaluate noisy intermediate-scale quantum (NISQ) computer
Externí odkaz:
http://arxiv.org/abs/1909.12183
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 quality of user experience for video streaming based on device and net
Externí odkaz:
http://arxiv.org/abs/1909.11988
Autor:
Singh, Gagandeep, Chelini, Lorenzo, Corda, Stefano, Awan, Ahsan Javed, Stuijk, Sander, Jordans, Roel, Corporaal, Henk, Boonstra, Albert-Jan
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 limited data reuse. At the same time, the advancement in 3D integratio
Externí odkaz:
http://arxiv.org/abs/1908.02640
Publikováno v:
Euromicro Conference on Digital System Design (DSD) 2019
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 is not trivial to find such applications and specialized tools are nee
Externí odkaz:
http://arxiv.org/abs/1906.10037
Emerging computing architectures such as near-memory computing (NMC) promise improved performance for applications by reducing the data movement between CPU and memory. However, detecting such applications is not a trivial task. In this ongoing work,
Externí odkaz:
http://arxiv.org/abs/1904.08762
Autor:
Awan, Ahsan Javed
The sheer increase in the volume of data over the last decade has triggered research in cluster computing frameworks that enable web enterprises to extract big insights from big data. While Apache Spark defines the state of the art in big data analyt
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217910
Autor:
Awan, Ahsan Javed
The sheer increase in volume of data over the last decade has triggered research in cluster computing frameworks that enable web enterprises to extract big insights from big data. While Apache Spark defines the state of the art in big data analytics
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185581