activity
20232026
most citedSPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AR2026

Programming AMD XDNA NPUs with Open-source Compiler Tools: A FlashAttention Case Study

Erwei Wang, Ephrem Wu, Victor J. B. Jung +4

Spatial NPUs such as AMD XDNA place compute tiles beside small local memories and leave data movement between them to software. Mapping a multi-stage workload onto such a device is…

cs.DC2026

STEEL: Sparsity-Aware Fused Attention for Energy-Efficient Long-Sequence Inference on AMD's XDNA NPU

Victor J. B. Jung, Gagandeep Singh, Joseph Melber +3

The growing adoption of large language model-based agents within operating system workflows has increased the importance of energy-efficient inference on laptop-class systems-on-ch…

cs.AR2025

Striking the Balance: GEMM Performance Optimization Across Generations of Ryzen AI NPUs

Endri Taka, Andre Roesti, Joseph Melber +3

The high computational and memory demands of modern deep learning (DL) workloads have led to the development of specialized hardware devices from cloud to edge, such as AMD's Ryzen…

cs.DC2025

Can Asymmetric Tile Buffering Be Beneficial?

Chengyue Wang, Wesley Pang, Xinrui Wu +9

General matrix multiplication (GEMM) is the computational backbone of modern AI workloads, and its efficiency is critically dependent on effective tiling strategies. Conventional a…

cs.CL2025

From Loop Nests to Silicon: Mapping AI Workloads onto AMD NPUs with MLIR-AIR

Erwei Wang, Samuel Bayliss, Andra Bisca +19

General-purpose compilers abstract away parallelism, locality, and synchronization, limiting their effectiveness on modern spatial architectures. As modern computing architectures…

cs.SE2025

Efficiency, Expressivity, and Extensibility in a Close-to-Metal NPU Programming Interface

Erika Hunhoff, Joseph Melber, Kristof Denolf +8

Accelerators such as neural processing units (NPUs) deliver an enticing balance of performance and efficiency compared to general purpose compute architectures. However, effectivel…

cs.AR2023★ 1 cited

SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation

Gagandeep Singh, Alireza Khodamoradi, Kristof Denolf +6

Fast and accurate climate simulations and weather predictions are critical for understanding and preparing for the impact of climate change. Real-world weather and climate modeling…