activity
20192022
most citedTDO-CIM: Transparent Detection and Offloading for Computation In-memory

12 citations · 21 across the 3 of their papers we have counts for

collaborators

7 papers

cs.PF20222 cited

PMT: Power Measurement Toolkit

Stefano Corda, Bram Veenboer, Emma Tolley

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…

cs.AR2021

NMPO: Near-Memory Computing Profiling and Offloading

Stefano Corda, Madhurya Kumaraswamy, Ahsan Javed Awan +3

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 mode…

cs.AR202012 cited

TDO-CIM: Transparent Detection and Offloading for Computation In-memory

Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar +4

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 h…

cs.DC2020

Near Memory Acceleration on High Resolution Radio Astronomy Imaging

Stefano Corda, Bram Veenboer, Ahsan Javed Awan +3

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…

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…