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Open Access Publications from the University of California
Cover page of Characterizing Lossless GPU Data Compression Across AMD CDNA and RDNA Architectures

Characterizing Lossless GPU Data Compression Across AMD CDNA and RDNA Architectures

(2027)

Data movement remains a major bottleneck in high-performance computing workflows, making GPU-accelerated compression an increasingly important optimization. While NVIDIA platforms benefit from mature compression libraries such as nvCOMP, the performance of practical lossless compression on AMD GPUs remains undercharacterized. This paper addresses that gap by porting LZ4, Snappy, and Cascaded from CUDA to HIP and evaluating them across four AMD GPUs spanning three CDNA generations (MI50, MI210, MI300X) and RDNA 3 (RX 7900 XT), using both synthetic datasets and seismic simulation data. Our study makes three contributions. First, we provide a cross-generational characterization of lossless GPU compression on recent AMD accelerators. Second, we present a functional CUDA-to-HIP port of three widely used algorithms, establishing an open baseline for future AMD-specific optimization. Third, we analyze how architectural differences shape compression and decompression behavior across algorithms and datasets. The results show that the MI300X achieves up to 11×$$11\times $$ higher decompression throughput than the MI50, while RDNA 3 is competitive for compression workloads characterized by irregular memory accesses. We also show that transfers dominate end-to-end execution time on all evaluated platforms, indicating that the main benefits of GPU compression are most likely to emerge in GPU-resident workflows. For realistic seismic floating-point data, lossless compression ratios remain modest (1.03-1.04×$$1.03-1.04\times $$), suggesting that error-bounded lossy compression is a promising direction for future work.

Beyond Editing Code: Uses for AI Tools in Scientific Work

(2026)

Critical research advancements require usable, reliable software products—including AI tooling—for high performance data and computing work. To improve AI systems we must understand scientists’ and engineers’ needs and define design best practices for building interfaces that facilitate collaboration between scientists and AI tools across ecosystems. Ensuring the long-term usability and utility of scientific software products and AI systems for communities protects critical investments, supports high quality research, and reduces end user challenges. This talk will present findings from our semi-structured interview study investigating how scientists and engineers use AI tools for their research work. We recruited from universities and national labs, seeking perspectives from multiple disciplines. Looking beyond common use of AI tools for coding tasks, we sought to understand the varied ways AI is or could be adopted in scientific settings. Our interviews investigated how users determine the utility of AI tools, the concerns they have about adoption, and expectations for agentic tooling in research infrastructures. In this talk, we discuss opportunities for AI tooling in science and engineering beyond coding support, providing a lens into the development work the US-RSE community may take on in the near future and the socio-technical circumstances driving it. Our results inform development priorities, strategies for issue mitigation, and long-term stewardship in scientific facilities and work. We anticipate our insights helping to improve the usability and stewardship of scientific software, especially for high performance data and computing work.

Differential measurements of γγ → ττ and constraints on τ-lepton electromagnetic moments in Pb+Pb collisions at sNN=5.02 TeV with ATLAS

(2026)

This paper presents the first differential fiducial measurements of γγ → ττ using 1.93 nb−1 of Pb+Pb data at sNN=5.02$$ \sqrt{s_{\mathrm{NN}}}=5.02 $$ TeV recorded by the ATLAS detector. Events in which one of the τ -leptons decays into a muon and two neutrinos τ→ντν¯μμ$$ \tau \to { u}_{\tau }{\overline{ u}}_{\mu}\mu $$ are selected and are categorized into three regions by the presence of an electron or either one or three charged-particle track(s) from the second τ-lepton decay. The measurement is performed in events where both Pb ions remain intact and no neutrons are emitted. Differential cross-sections are measured for seven variables in three fiducial regions at particle level. The measurements are compared to theory predictions with different photon flux models and spin correlation effects. For the fiducial region with one muon and one electron in the final state, comparisons to next-to-leading-order electroweak predictions are also made. The transverse momentum (pT) of the decay muon, the pT of the visible decay particles of the other τ-lepton, the total pT, invariant mass, and pseudorapidity of the visible particles from the di-τ system, and the rapidity and acoplanarity of the visible decay particles from either τ-lepton are measured. A maximum-likelihood fit to the muon transverse-momentum distributions in the three regions before unfolding is performed to extract the τ-lepton anomalous magnetic moment aτ and electric dipole moment dτ, the latter for the first time in heavy ion collisions. The observed 95% confidence level intervals are −0.057 < aτ< 0.035 and |dτ| < 2.7 × 10−16ecm.

Observation of a Bc*+ Meson with the ATLAS Detector

(2026)

The first observation of a new meson state decaying into and a photon is presented using a dataset of collisions at a center-of-mass energy collected by the ATLAS detector at the Large Hadron Collider, corresponding to an integrated luminosity of . The mesons are reconstructed from a three-muon final state from decays, along with photons reconstructed via conversions to electron-positron pairs in the detector material. The new state is observed with a significance that exceeds 8 standard deviations. The mass difference between the new meson state and the ground-state meson is measured to be . This corresponds to a mass for the observed state of , where the last uncertainty is due to the precision of the best knowledge of the meson mass. The low mass difference value matches the theory expectations for the lowest vector state of the system, the meson.

Measurement of the cross-section for the production of a W boson in association with b-jets in pp collisions at s=13 TeV with the ATLAS detector

(2026)

This paper presents a measurement of the production cross-section of a W boson associated with one or two jets, where at least one jet originates from a b-quark. The data are collected with the ATLAS detector at the LHC in proton-proton collisions at s=13$$ \sqrt{s}=13 $$ TeV, corresponding to an integrated luminosity of 140 fb-1. Differential cross-sections are presented as a function of the transverse momentum of the b-jet for both the electron and muon decay modes of the W boson. The results corrected for all detector effects are presented in a fiducial region defined with basic lepton and jet kinematics, and compared with theoretical predictions. The combined fiducial cross-section of W + b-jets for the electron and muon channels is measured to be 16.6 ± 1.9 pb, which is consistent with the next-to-leading-order QCD prediction of 16.8 ± 2.3 pb. The relative precision of this measurement is improved by approximately a factor of two compared with the previous ATLAS measurement at s=7$$ \sqrt{s}=7 $$ TeV.

Measurement of coincident photon-initiated processes in ultra-peripheral Pb+Pb collisions with the ATLAS detector

(2026)

The Lorentz-contracted electromagnetic fields of the ions in ultra-relativistic heavy-ion collisions generate intense quasi-real photon fluxes. These lead to photon-induced interactions that are observed in ultra-peripheral collisions (UPCs), such as vector meson and lepton-pair production. The high photon flux also enables the occurrence of multiple photon-induced processes in a single collision. Presented is the first measurement of the coincident production of γ γ → μ + μ − and γ + A → ρ 0 + A in UPC Pb+Pb collisions at centre-of-mass energies of 5.02 TeV and 5.36 TeV with the ATLAS detector at the Large Hadron Collider. The coincident ρ 0 is identified via its decay into a π + π − pair, with the selected π + π − sample also containing the non-resonant continuum contribution. The rate of the coincident process relative to the exclusive γ γ → μ + μ − process is measured differentially in intervals of forward event activity, quantified by the Zero Degree Calorimeters. The relative rate of coincident ρ 0 production, including non-resonant π + π − contributions, is measured to be ( 9.3 ± 0.4 ( stat . ) ± 0.2 ( syst . ) ) × 10 − 3 , summed over forward event activity. Correlations between the dimuon kinematic properties, such as its mass, and the coincident ρ 0 meson production rate, are also presented. These measurements confirm the presence of multi photon-induced processes in UPC collisions, and can provide new insight into the impact parameter dependence of photon-induced vector meson production.

Cover page of An online machine learning multi-resolution optimization framework for energy system design limit of performance analysis

An online machine learning multi-resolution optimization framework for energy system design limit of performance analysis

(2026)

Designing reliable integrated energy systems for industrial processes requires optimization and verification models across multiple fidelities, from architecture-level sizing to high-fidelity dynamic operation. However, model mismatch across fidelities obscures the sources of performance loss and complicates the quantification of architecture-to-operation performance gaps. We propose an online, machine-learning–accelerated multi-resolution optimization framework that estimates an architecture-specific upper bound on achievable performance while minimizing expensive high-fidelity model evaluations. We demonstrate the approach on a pilot energy system supplying a 1 megawatt industrial heat load. First, we solve a multi-objective architecture optimization to select the system configuration and component capacities. We then develop an machine learning (ML)-accelerated multi-resolution, receding-horizon optimal control strategy that approaches the achievable-performance bound for the specified architecture, given the additional controls and dynamics not captured by the architectural optimization model. The ML-guided controller adaptively schedules the optimization resolution based on predictive uncertainty and warm-starts high-fidelity solves using elite low-fidelity solutions. Our results on the pilot case study show that the proposed multi-resolution strategy reduces the architecture-to-operation performance gap by up to 42% relative to a rule-based controller, reduces the required high-fidelity model evaluations by 34% relative to the same multi-fidelity approach without ML guidance, and improves on direct derivative-free optimization by up to 24%, enabling faster and more reliable design verification. Together, these gains make high-fidelity verification tractable, providing a practical upper bound on achievable operational performance prior to industrial deployment.

Cover page of A New Record Census of Dwarf AGN and a Bimodal MBH − M⋆ Scaling Relation with DESI DR1

A New Record Census of Dwarf AGN and a Bimodal MBH − M⋆ Scaling Relation with DESI DR1

(2026)

Using the first spectroscopic data release from the Dark Energy Spectroscopic Instrument (DESI DR1), we conduct the largest systematic search for active galactic nuclei (AGN) signatures in ≈1.7 million low-redshift (0.001 ≤ z ≤ 0.45) line-emitting galaxies. Based on the [N ii]/Hα versus [O iii]/Hβ emission-line ratio diagnostic, we identify AGN in 314,245/1,211,573 (25.9%) high-mass ( log(M⋆/M⊙)>9.5 ) and 9648/467,214 (2.1%) dwarf ( log(M⋆/M⊙)≤9.5 ) galaxies. The AGN fraction in line-emitting galaxies increases monotonically with stellar mass, from ∼1.4% at the low-mass end to ∼93.3% at the high-mass end. Among these AGN, 17,949 exhibit broad Hα emission (BL-AGN), which we use to estimate their black hole (BH) masses via single-epoch virial methods. Leveraging this large BL-AGN sample, we extend the MBH − M⋆ scaling relation down to log(M⋆/M⊙)≈7.8 and log(MBH/M⊙)≈4.4 . We find a bimodal distribution of galaxies in this space, characterized by two distinct empirical relations. The relation for galaxies with high stellar and BH masses extrapolates to overlap with the high-redshift overmassive BH candidates. Our results suggest at least two broad evolutionary pathways for these overmassive BHs and their host galaxies across cosmic time. With this paper, we release the EmFit value-added catalog, containing emission-line flux and width measurements for ∼7.4 million galaxies, the largest catalog with emission-line decomposition into narrow, broad, and outflow components to date. This work significantly expands upon the early DESI results and provides a statistical sample for probing the galaxy−BH connection in the low-mass galaxy regime.