82 citations · 91 across the 11 of their papers we have counts for
11 papers
Agentic Operator Generation for ML ASICs
Alec M. Hammond, Aram Markosyan, Aman Dontula +15
We present TritorX, an agentic AI system designed to generate functionally correct Triton PyTorch ATen kernels at scale for emerging accelerator platforms. TritorX integrates open-…
KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta
Gang Liao, Hongsen Qin, Ying Wang +36
Making deep learning recommendation model (DLRM) training and inference fast and efficient is important. However, this presents three key system challenges - model architecture div…
Unifying and accelerating level-set and density-based topology optimization by subpixel-smoothed projection
Alec M. Hammond, Ardavan Oskooi, Ian M. Hammond +3
We introduce a new "subpixel-smoothed projection" (SSP) formulation for differentiable binarization in topology optimization (TopOpt) as a drop-in replacement for previous projecti…
Inverse design of 3D-printable metalenses with complementary dispersion for terahertz imaging
Mo Chen, Ka Fai Chan, Alec M. Hammond +2
This study formulates a volumetric inverse-design methodology to generate a pair of complementary focusing metalenses for terahertz imaging: the two lenses exhibit equal and opposi…
Fabrication Tolerant Multi-Layer Integrated Photonic Topology Optimization
Michael J. Probst, Arjun Khurana, Joel B. Slaby +2
Optimal multi-layer device design requires consideration of fabrication uncertainties associated with inter-layer alignment and conformal layering. We present layer-restricted topo…
Fourier modal method for inverse design of metasurface-enhanced micro-LEDs
Martin F. Schubert, Alec M. Hammond
We present a simulation capability for micro-scale light-emitting diodes (uLEDs) that achieves comparable accuracy to CPU-based finite-difference time-domain simulation but is more…