Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Corda, Stefano"'
Autor:
Brunet, Thomas, Tolley, Emma, Corda, Stefano, Ilic, Roman, Broekema, P. Chris, Kneib, Jean-Paul
We explore applications of quantum computing for radio interferometry and astronomy using recent developments in quantum image processing. We evaluate the suitability of different quantum image representations using a toy quantum computing image reco
Externí odkaz:
http://arxiv.org/abs/2310.12084
Efficient use of energy is essential for today's supercomputing systems, as energy cost is generally a major component of their operational cost. Research into "green computing" is needed to reduce the environmental impact of running these systems. A
Externí odkaz:
http://arxiv.org/abs/2210.03724
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:
Vadivel, Kanishkan, Chelini, Lorenzo, BanaGozar, Ali, Singh, Gagandeep, Corda, Stefano, Jordans, Roel, Corporaal, Henk
Computation in-memory is a promising non-von Neumann approach aiming at completely diminishing the data transfer to and from the memory subsystem. Although a lot of architectures have been proposed, compiler support for such architectures is still la
Externí odkaz:
http://arxiv.org/abs/2007.00060
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
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
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