activity
20242026
most citedAccelerating Neural Network Training: An Analysis of the AlgoPerf Competition

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

collaborators

5 papers

cs.SE2026

Composer 2 Technical Report

Cursor Research, :, Aaron Chan +53

Composer 2 is a specialized model designed for agentic software engineering. The model demonstrates strong long-term planning and coding intelligence while maintaining the ability…

cs.LG2025★ 2 cited

Accelerating Neural Network Training: An Analysis of the AlgoPerf Competition

Priya Kasimbeg, Frank Schneider, Runa Eschenhagen +11

The goal of the AlgoPerf: Training Algorithms competition is to evaluate practical speed-ups in neural network training achieved solely by improving the underlying training algorit…

cs.DC2024★ 1 cited

HadaCore: Tensor Core Accelerated Hadamard Transform Kernel

Krish Agarwal, Rishi Astra, Adnan Hoque +4

We present HadaCore, a modified Fast Walsh-Hadamard Transform (FWHT) algorithm optimized for the Tensor Cores present in modern GPU hardware. HadaCore follows the recursive structu…

cs.CL2024

TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Wanchao Liang, Tianyu Liu, Less Wright +10

The development of large language models (LLMs) has been instrumental in advancing state-of-the-art natural language processing applications. Training LLMs with billions of paramet…

cs.DC2024

Accelerating a Triton Fused Kernel for W4A16 Quantized Inference with SplitK work decomposition

Adnan Hoque, Less Wright, Chih-Chieh Yang +2

We propose an implementation of an efficient fused matrix multiplication kernel for W4A16 quantized inference, where we perform dequantization and GEMM in a fused kernel using a Sp…