Tootfinder

Rootin' Tootin' Efficient Ray Shootin': Creating Microlensing Magnification Maps with GPUs
Luke Weisenbach
https://arxiv.org/abs/2506.02114 htt…

Rootin' Tootin' Efficient Ray Shootin': Creating Microlensing Magnification Maps with GPUs
The impending discovery and monitoring of hundreds of new gravitationally lensed quasars and supernovae from upcoming ground and space based large area surveys such as LSST, \textit{Euclid}, and \textit{Roman} necessitates the development of improved numerical methods for studying gravitational microlensing. We present in this work the fastest microlensing map generation code currently publicly available. We utilize graphics processing units to take advantage of the inherent parallelizable natu…

CMOS X: Stacking Persistent Embedded Memories based on Oxide Transistors upon GPGPU Platforms
Faaiq Waqar, Ming-Yen Lee, Seongwon Yoon, Seongkwang Lim, Shimeng Yu
https://arxiv.org/abs/2506.23405

CMOS+X: Stacking Persistent Embedded Memories based on Oxide Transistors upon GPGPU Platforms
In contemporary general-purpose graphics processing units (GPGPUs), the continued increase in raw arithmetic throughput is constrained by the capabilities of the register file (single-cycle) and last-level cache (high bandwidth), which require the delivery of operands at a cadence demanded by wide single-instruction multiple-data (SIMD) lanes. Enhancing the capacity, density, or bandwidth of these memories can unlock substantial performance gains; however, the recent stagnation of SRAM bit-cell…