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publish-assistant/site/data/papers/TC-2025-digest.yaml
2026-04-26 12:57:40 +00:00

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venue: TC
year: 2025
selected:
- title: "RV-CURE: A RISC-V Capability Architecture for Full Memory Safety"
authors:
- Yonghae Kim
- Anurag Kar
- Jaewon Lee
- Jaekyu Lee
- Hyesoon Kim
tldr: "Extends the RISC-V ISA with hardware capabilities to enforce full memory safety—including bounds checking and pointer provenance—across the entire software stack."
why_notable: "Demonstrates that capability-based memory safety can be integrated into an open ISA at low cost, with implications for deploying safe-by-default embedded and server systems."
- title: "DIVIDE: Efficient RowHammer Defense via In-DRAM Cache-Based Hot Data Isolation"
authors:
- Haitao Du
- Yuxuan Yang 0009
- Song Chen 0001
- Yi Kang
tldr: "Proposes an in-DRAM cache that isolates frequently accessed rows, preventing RowHammer hammering without costly refresh storms or off-chip overhead."
why_notable: "Addresses the escalating RowHammer threat directly inside DRAM with negligible performance overhead, making it a compelling candidate for near-term hardware adoption."
- title: "SAL-PIM: A Subarray-Level Processing-in-Memory Architecture With LUT-Based Linear Interpolation for Transformer-Based Text Generation"
authors:
- Wontak Han
- Hyunjun Cho
- Donghyuk Kim
- Joo-Young Kim 0001
tldr: "Implements subarray-level PIM with lookup-table interpolation inside DRAM to accelerate the memory-bound non-linear operations of transformer inference."
why_notable: "Shows how fine-grained PIM design can unblock the bottlenecks specific to LLM inference, providing a pathway to in-memory acceleration of attention and activation layers."
- title: "FlashDecoding++Next: High Throughput LLM Inference With Latency and Memory Optimization"
authors:
- Guohao Dai 0001
- Ke Hong
- Qiuli Mao
- Xiuhong Li
- Jiaming Xu
- Haofeng Huang
- Hongtu Xia
- Xuefei Ning
- Shengen Yan
- Yun Liang 0001
- Yu Wang 0002
tldr: "Extends FlashDecoding with memory and latency optimizations to significantly raise GPU throughput during the autoregressive generation phase of large language models."
why_notable: "Directly advances the state of the art in LLM serving efficiency on GPU clusters, a problem with immediate commercial relevance."
- title: "Mix-GEMM: Extending RISC-V CPUs for Energy-Efficient Mixed-Precision DNN Inference Using Binary Segmentation"
authors:
- Jordi Fornt
- Enrico Reggiani
- Pau Fontova-Musté
- Narcís Rodas
- Alessandro Pappalardo
- Osman Sabri Unsal
- Adrián Cristal Kestelman
- Josep Altet
- Francesc Moll
- Jaume Abella 0001
tldr: "Adds lightweight ISA extensions to a RISC-V CPU for mixed-precision inference via binary segmentation, avoiding heavyweight SIMD or dedicated accelerators."
why_notable: "Provides a cost-effective route to on-device DNN inference on RISC-V embedded cores without the area overhead of a full vector or matrix unit."
- title: "Optimizing Tiny Transformers on Low-Power MCUs"
authors:
- Victor Jean-Baptiste Jung
- Alessio Burrello
- Moritz Scherer 0001
- Francesco Conti 0001
- Luca Benini
tldr: "Develops an automated deployment pipeline for transformer models on microcontrollers, exploiting tiling, quantization, and kernel fusion to fit within tight memory and compute budgets."
why_notable: "Enables state-of-the-art sequence models to run on ultra-low-power embedded processors, bridging the gap between transformer research and IoT hardware constraints."
- title: "Rethinking Control Flow in Spatial Architectures: Insights Into Control Flow Plane Design"
authors:
- Jinyi Deng
- Xinru Tang
- Jiahao Zhang
- Yuxuan Li
- Linyun Zhang
- Fengbin Tu
- Shaojun Wei
- Yang Hu 0001
- Shouyi Yin
tldr: "Systematically studies control-flow support in dataflow/spatial accelerators and proposes a general control-flow plane abstraction that unifies existing ad hoc designs."
why_notable: "Offers a principled framework for architects designing the next generation of programmable spatial accelerators, where irregular control flow remains a fundamental challenge."
- title: "High-Performance Hardware Implementation of Crystals-Dilithium Based on Improved MDC-NTT"
authors:
- Yijun Cui
- Junjie Zhong
- Bei Wang 0013
- Tianyu Xu 0002
- Chenghua Wang
- Weiqiang Liu 0001
tldr: "Presents an optimized ASIC accelerator for CRYSTALS-Dilithium digital signatures using an improved multi-delay commutator NTT to maximize throughput."
why_notable: "Delivers high-performance hardware for a NIST-standardized post-quantum signature scheme, essential for quantum-safe authentication in future systems."
- title: "Hardware Accelerated Vision Transformer via Heterogeneous Architecture Design and Adaptive Dataflow Mapping"
authors:
- Yingxue Gao
- Teng Wang
- Lei Gong 0003
- Chao Wang 0003
- Dong Dai 0001
- Yang Yang 0080
- Xianglan Chen
- Xi Li 0003
- Xuehai Zhou
tldr: "Designs a heterogeneous accelerator for Vision Transformers that adaptively maps attention and FFN computations onto specialized dataflow engines to maximize utilization."
why_notable: "Addresses the heterogeneous computational demands of ViT workloads with a flexible architecture, demonstrating state-of-the-art throughput-per-watt on image recognition tasks."
- title: "29-Billion Atoms Molecular Dynamics Simulation With Ab Initio Accuracy on 35 Million Cores of New Sunway Supercomputer"
authors:
- Xun Wang 0010
- Xiangyu Meng 0005
- Zhuoqiang Guo
- Mingzhen Li 0001
- Lijun Liu
- Mingfan Li
- Qian Xiao
- Tong Zhao
- Ninghui Sun
- Guangming Tan
- Weile Jia
tldr: "Scales a machine-learning-based molecular dynamics simulation to 29 billion atoms at ab-initio accuracy across 35 million cores on the Sunway supercomputer."
why_notable: "Sets a landmark in scientific HPC scalability, demonstrating how deep co-design of architecture, communication, and ML models enables quantum-accurate simulation at unprecedented scale."
- title: "AXI-REALM: Safe, Modular and Lightweight Traffic Monitoring and Regulation for Heterogeneous Mixed-Criticality Systems"
authors:
- Thomas Benz
- Alessandro Ottaviano
- Chaoqun Liang
- Robert Balas
- Angelo Garofalo
- Francesco Restuccia 0002
- Alessandro Biondi 0001
- Davide Rossi 0001
- Luca Benini
tldr: "Introduces an open-source AXI interconnect module that enforces bandwidth and latency isolation between mixed-criticality components in heterogeneous SoCs."
why_notable: "Provides a practical, standards-compliant hardware mechanism for achieving real-time guarantees in safety-critical SoCs built from commodity IP blocks."
- title: "Stream: Design Space Exploration of Layer-Fused DNNs on Heterogeneous Dataflow Accelerators"
authors:
- Arne Symons
- Linyan Mei
- Steven Colleman
- Pouya Houshmand
- Sebastian Karl
- Marian Verhelst
tldr: "Presents a framework for exploring the design space of layer-fused DNN execution across heterogeneous arrays, jointly optimizing tiling, scheduling, and memory allocation."
why_notable: "Enables systematic co-design of DNN models and heterogeneous accelerators, a key capability as networks grow more complex and hardware resources more diverse."