Physicist, Telecom Engineering lover, HPC Enthusiast. Prog Rock/Metal fan
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Researchers have developed a new simulator to predict the throughput of basic blocks of all Intel Core μarchs released in the last decade, demonstrating to be more accurate than the predictions of state-of-the-art tools by more than an order of magnitude.
arxiv.org/pdf/2107.14210.pdf
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After a long time, I’m finally on vacation, taking the opportunity to rest my mind from all the AI noise. If the world ends or the bubble bursts while I’m away, just know that I’m happily fishing in the ocean and enjoying life.
See you soon. 🦊
piped.video/watch?v=vJXCgHG6…
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In this paper is introduced the first auto-tuning framework for Julia GPU kernels as an accessible Julia package, enabling systematic auto-tuning of hardware-agnostic kernels to target a wide variety of platforms, such as NVIDIA, AMD, Intel, and Apple.
arxiv.org/pdf/2608.21227
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In this paper is presented CHIPSMORE, a multi-mode and multi-request CIM accelerator for LLM inference across diverse operating scenarios, including base-mode execution, LoRA adaptation, varying context lengths, and concurrent multi-request serving.
arxiv.org/pdf/2608.30509
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Finally, a non-replicated multi-request execution pipeline exploits request-level parallelism without duplicating pretrained weights, while a state-aware resource reconfiguration mechanism selectively retains runtime states and power-gates inactive resources.
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In this paper is introduced the first auto-tuning framework for Julia GPU kernels as an accessible Julia package, enabling systematic auto-tuning of hardware-agnostic kernels to target a wide variety of platforms, such as NVIDIA, AMD, Intel, and Apple.
arxiv.org/pdf/2608.21227
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[Basic Concepts] In this paper is presented a comprehensive and critical overview of on-chip photonic neural networks, spanning fundamental device technologies, system architectures, and emerging applications.
advanced.onlinelibrary.wiley…
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In this paper is proposed GapFill, a specialized tool designed to assist professional anime colorists in addressing small, unpainted areas, integrating seamlessly into existing professional workflows.
arxiv.org/pdf/2609.00800
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In this paper, AMD researchers have presented the first micro-architecture based performance characterization of SPEC CPU 2026 on AMD EPYC "Zen 5" processor.
arxiv.org/pdf/2609.01527
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Researchers have presented the first experimental ML-enabled Process-Technology Co-Optimization (PTCO) framework for optimizing 2D TMD FET fabrication directly from statistically meaningful experimental data rather than pure simulation data.
arxiv.org/pdf/2609.00722
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In this paper is proposed NeuroPrefetcher, a storage-backed sparse inference runtime built around predictive delta prefetching for the regime where an LLM exceeds resident memory throughout execution.
arxiv.org/pdf/2608.22643
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In this paper is proposed NeuroPrefetcher, a storage-backed sparse inference runtime built around predictive delta prefetching for the regime where an LLM exceeds resident memory throughout execution.
arxiv.org/pdf/2608.22643
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NeuroPrefetcher makes weight movement explicit, predicting which sparse weights the next token will need, compares that predicted set against the weights already resident, and fetches only the difference in advance.
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Researchers have presented the first experimental ML-enabled Process-Technology Co-Optimization (PTCO) framework for optimizing 2D TMD FET fabrication directly from statistically meaningful experimental data rather than pure simulation data.
arxiv.org/pdf/2609.00722
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These metrics are integrated into a multi-objective ranking framework and coupled with GPR to identify process–performance correlations and predict unexplored fabrication recipes within the experimental process space.
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