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Related Articles from SNS
Terastal: Layer-Variant-based Scheduling for Real-Time Multi-DNN Workloads on Heterogeneous Accelerators
Announce Type: new Abstract: Heterogeneous DNN accelerators improve soft real-time multi-DNN execution by mapping each layer to its preferred accelerator to reduce latency. However, under skewed workloads, large layer-latency differences across accelerators limit scheduling flexibility and increase deadline misses. To address this challenge, we introduce layer variants, customized layer implementations that reduce latency gaps on non-preferred accelerators.
Jupiter bow shock reveals electrons accelerating to relativistic speeds
Jupiter bow shock reveals electrons accelerating to relativistic speeds Sadie Harley Scientific Editor Robert Egan Associate Editor Electrons around Jupiter have been caught in the process of being accelerated, revealing a potentially unified mechanism for particle acceleration. The findings, published in Nature, may help constrain how energetic particles are produced throughout the universe. Shocks are disturbances created by a perturber/object/fluid moving through a fluid faster than the...
MeerKAT reveals three electron acceleration sites in one solar flare
MeerKAT reveals three electron acceleration sites in one solar flare Sadie Harley Scientific Editor Robert Egan Associate Editor Solar flares are the most explosive energy-release events in the solar corona, leading to intense particle acceleration, plasma heating and bulk plasma motions on short timescales. Core questions during solar flares remain unresolved, including how and where particle acceleration occurs, and how energized electrons propagate through coronal magnetic structures....
Relativistic deceleration vs acceleration, Unruh effect observation, and the Schott energy
Announce Type: new Abstract: This article examines finite-time relativistic deceleration and its energy balance within the Lorentz-Abraham-Dirac equation, with special attention to boundary Schott-energy terms. From experimental and kinematical viewpoints, deceleration differs from acceleration. Proper accelerations or decelerations relevant to Unruh-effect observations may be more naturally realized in deceleration than in comparable acceleration scenarios.
Electron injection and acceleration into laser-driven wakefield from a solid overdense plasma target
Announce Type: new Abstract: A laser-plasma acceleration scheme combining electron extraction from a solid overdense target with wakefield acceleration in an adjacent underdense plasma region is presented. A laser pulse excites a diffracted electromagnetic wave at the overdense plasma interface, extracting and pre-accelerating electrons, which are then injected into laser-driven wakefield cavities in the underdense plasma. A parametric study identifies key conditions enabling efficient...
Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA
Announce Type: replace-cross Abstract: We analyze the Accelerated Noisy Power Method, an algorithm for Principal Component Analysis in the setting where only inexact matrix-vector products are available, which can arise for instance in decentralized PCA. While previous works have established that acceleration can improve convergence rates compared to the standard Noisy Power Method, these guarantees require overly restrictive upper bounds on the magnitude of the perturbations, limiting their...
OpenEye: A Scalable Open-Source Hardware Accelerator for DNNs
arXiv:2606.01450v1 Announce Type: new Abstract: The increasing computational complexity of deep neural network inference poses significant challenges for efficient hardware acceleration on embedded platforms, particularly with respect to resource consumption and scalability. This work presents OpenEye, a scalable and sparsity-aware FPGA-based hardware accelerator designed to efficiently execute common neural network operations such as convolutions, dense layers, and pooling. OpenEye is based...
Expanding LUME to Support Virtual Accelerators and Digital Twins
arXiv:2606.07250v1 Announce Type: new Abstract: Virtual accelerators and digital twins are increasingly essential tools for accelerator operations, controls development and verification, and model-based optimization. However, current implementations are often tightly coupled to specific simulation codes, facilities, and applications, resulting in fragmented, ad hoc solutions that are difficult to reuse or extend. To address this, we expand the LUME Python package to include standardized...
GPU Acceleration of Collinear and Noncollinear DFT Using a Numerical Atomic Orbital-Based DFT Code
new Abstract: We implement GPU acceleration of collinear and noncollinear density functional theory (DFT) calculations in the numerical atomic orbitals (NAOs) code OpenMX by offloading matrix multiplications and eigenvalue solves (plus selected auxiliary steps) to cuBLAS/cuSOLVER and OpenACC. Benchmarks on the Pegasus supercomputer (per node: a 48-core Intel Xeon Platinum 8468 CPU and one NVIDIA H100 GPU) compare GPU-accelerated and CPU-only runs under identical settings. For a 512-atom...
White House to accelerate development of AI for 'war fighting'
White House to accelerate development of AI for 'war fighting' and national security Sat 6 Jun 2026 at 8:00am In short: The White House said it would accelerate the development and use of AI for national security applications, including "intelligence and war fighting domains". Major AI lab Anthropic is warning of an increased risk of "humans losing control over AI systems". The Trump administration has stressed the technology should not be used to carry out unlawful surveillance.