activity
20192022
most citedORIGAMI: A Heterogeneous Split Architecture for In-Memory Acceleration of Learning

5 citations · 7 across the 3 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

cs.AR2022★ 2 cited

Morpheus: Extending the Last Level Cache Capacity in GPU Systems Using Idle GPU Core Resources

Sina Darabi, Mohammad Sadrosadati, Joël Lindegger +6

Graphics Processing Units (GPUs) are widely-used accelerators for data-parallel applications. In many GPU applications, GPU memory bandwidth bottlenecks performance, causing underu…