activity
20122026
most citedNNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers

88 citations · 234 across the 33 of their papers we have counts for

collaborators

35 papers

cs.PL2026

Cleave: Scaling Tensor Program Optimization via Decoupled Algebraic Search and Operator Scheduling

David Pissarra, Jinkun Lin, Haitian Jiang +2

Optimized kernels such as FlashAttention and FlashDecoding are crucial for accelerating today's large models. Most of them are handwritten by experts because existing ML compilers…

cs.NI2026

Enforcing Application-Layer Policies in eBPF

Laurin Brandner, Ayush Mishra, Sebastiano Miano +3

Service meshes have recently emerged as the de-facto standard for deploying microservices. Conceptually, they provide a uniform abstraction for inter-process communication (IPC) be…

cs.NI2026

Probabilistic Fair Ordering of Events

Muhammad Haseeb, Jinkun Geng, Aurojit Panda +4

A growing class of applications depends on fair ordering, where events that occur earlier should be processed before later ones. Providing such guarantees is difficult in practice…

cs.DC2026

Aspen: Making Leaderless BFT Fast Paths Practical with Synchronized Clocks

Daniel Qian, Xiyu Hao, Jinkun Geng +4

No Byzantine Fault Tolerant (BFT) protocol can commit a request in less than the single round trip it takes for clients to reach the replicas and hear back. Some protocols approach…

cs.DC2025

Scaling Point-based Differentiable Rendering for Large-scale Reconstruction

Hexu Zhao, Xiaoteng Liu, Xiwen Min +6

Point-based Differentiable Rendering (PBDR) enables high-fidelity 3D scene reconstruction, but scaling PBDR to high-resolution and large scenes requires efficient distributed train…

cs.CV2025

CLM: Removing the GPU Memory Barrier for 3D Gaussian Splatting

Hexu Zhao, Xiwen Min, Xiaoteng Liu +6

3D Gaussian Splatting (3DGS) is an increasingly popular novel view synthesis approach due to its fast rendering time, and high-quality output. However, scaling 3DGS to large (or in…