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ORCID34th PACT 2025: Irvine, CA, USA
- 34th International Conference on Parallel Architectures and Compilation Techniques, PACT 2025, Irvine, CA, USA, November 3-6, 2025. IEEE 2025, ISBN 979-8-3315-8295-1
- Dowon Kim, MinJae Lee, Janghyeon Kim, Hyucksung Kwon, Hyeonggyu Jeong, Sang-Soo Park, Minyong Yoon, Si-Dong Roh, Yongsuk Kwon, Jinin So, Jungwook Choi:
Scalable Processing-Near-Memory for 1M-Token LLM Inference: CXL-Enabled KV-Cache Management Beyond GPU Limits. 1-13 - Junyeol Ryu, Yujin Jeong
, Daeyoung Park, Jinpyo Kim, Heehoon Kim, Jaejin Lee:
SPipe: Hybrid GPU and CPU Pipeline for Training LLMs under Memory Pressure. 14-29 - Seohong Choi, Huize Hong, Tae Hee Han, Joonsung Kim:
ScaleMoE: A Fast and Scalable Distributed Training Framework for Large-Scale Mixture-of-Experts Models. 30-42 - Hyeongjun Cho, Yoonho Jang, Hyungi Kim, Seongwook Kim, Keewon Kwon, Gwangsun Kim, Seokin Hong:
LibraPIM: Dynamic Load Rebalancing to Maximize Utilization in PIM-Assisted LLM Inference Systems. 43-56 - Jiazhi Jiang, Xiao Liu, Jiangsu Du, Dan Huang, Yutong Lu:
Doppeladler: Adaptive Tensor Parallelism for Latency-Critical LLM Deployment on CPU-GPU Integrated End-User Device. 57-70 - Yiqi Chen, Xiping Dong, Zhe Zhou, Zhao Wang, Jie Zhang, Guangyu Sun:
Exploring Memory Tiering Systems in the CXL Era via FPGA-based Emulation and Device-Side Management. 71-83 - Keun Soo Lim, Yunjay Hong, Jongheon Jeong, Sam Son, Donguk Kim, Yeonhong Park, Jae W. Lee, Jinkyu Jeong:
CPC: Coordinated Page Cache for Serverless Computing. 84-96 - Fan Li, Mimi Xie, Yanan Guo, Huize Li, Xin Xin:
SCREME: A Scalable Framework for Resilient Memory Design. 97-109 - Eishi Arima, Martin Schulz:
Cache Miss Curve Analysis via Cardinality Domain. 110-121 - Hongyi Guan, Yichuan Gao, Chenlu Miao, Haoyang Wu, Hang Zhu, Mingfeng Lin, Huayue Liang:
EARTH: Efficient Architecture for RISC-V Vector Memory Access. 122-134 - Yuguang Wang, Yunmo Zhang, Zeyu Liu, Junqiao Qiu, Zhenlin Wang:
ANG: Accelerating NFA processing on GPUs via Exploring Multi-Level Fine-Grained Parallelism. 135-147 - Chen Chen, Shanzhi Gu, Junsheng Chang, Li Shen:
Accelerating DFS-based Subgraph Matching on GPU via Reusing Intersection. 148-159 - Eric Lorimer, Ruobing Han, Sung Ha Kang, Hyesoon Kim:
Multiway Merge Partitioning for Sparse-Sparse Matrix Multiplication on GPUs. 160-171 - Chaemin Lim, Suhyun Lee, Jinwoo Choi, Joonsung Kim, Jinho Lee, Youngsok Kim:
DMO-DB: Mitigating the Data Movement Bottlenecks of GPU-Accelerated Relational OLAP. 172-185 - Massinissa Merouani, Islem Kara Bernou, Riyadh Baghdadi:
Agentic Auto-Scheduling: An Experimental Study of LLM-Guided Loop Optimization. 186-200 - Massinissa Merouani, Afif Boudaoud, Iheb Nassim Aouadj, Nassim Tchoulak, Islem Kara Bernou, Hamza Benyamina, Fatima Benbouzid-Si Tayeb, Karima Benatchba, Hugh Leather, Riyadh Baghdadi:
LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers. 201-215 - José Wesley de Souza Magalhães, Jackson Woodruff, Jordi Armengol-Estapé, Alexander Brauckmann, Luc Jaulmes, Elizabeth Polgreen, Michael F. P. O'Boyle:
Guess, Measure & Edit: Using Lowering to Lift Tensor Code. 216-228 - Jun Shirako, Vivek Sarkar:
Automatic Generation of Actor-based Parallelism from Shared-Memory Parallel Programs. 229-242 - Beniel Thileepan, Suhaib A. Fahmy, Gihan R. Mudalige:
Automatic Code-Generation for Accelerating Structured-Mesh-Based Explicit Numerical Solvers on FPGAs. 243-256 - Alireza Tabatabaeian, Arrvindh Shriraman:
FLASH: An Abstract Machine for Modelling Fully Homomorphic Encryption Accelerators. 257-269 - Yanze Wu, Md Tanvir Arafin:
Energy-Efficient Acceleration of Hash-Based Post-Quantum Cryptographic Schemes on Embedded Spatial Architectures. 270-280 - Robin Geens, Arne Symons, Marian Verhelst:
Fine-Grained Fusion: The Missing Piece in Area-Efficient State Space Model Acceleration. 281-291 - Rubén Langarita, Jesús Alastruey-Benedé, Pablo Ibáñez-Marín, Santiago Marco-Sola, Miquel Moretó, Adrià Armejach:
Squire: A General-Purpose Accelerator to Exploit Fine-Grain Parallelism on Dependency-Bound Kernels. 292-305 - Se-Min Lim, Seongyoung Kang, Sang-Woo Jun:
Bancroft: Genomics Acceleration Beyond On-Device Memory. 306-319 - Yujeong Choi, John Kim, Minsoo Rhu:
Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for Personalized Recommendations. 320-332 - Cyan Subhra Mishra, Deeksha Chaudhary, Mahmut Taylan Kandemir, Chita R. Das:
Salient Store: Enabling Smart Storage for Continuous Learning Edge Servers. 333-346 - Hyunsei Lee, Shinhyoung Jang, Jaewoo Gwak, Jongho Park, Yeseong Kim:
Bit-Level Semantics: Scalable RAG Retrieval with Neurosymbolic Hyperdimensional Computing. 347-358 - Md. Musfiqur Rahman Sanim, Zhihao Shu, Bahram Afsharmanesh, AmirAli Mirian, Jiexiong Guan, Wei Niu, Bin Ren, Gagan Agrawal:
Optimizing 3D Gaussian Splattering for Mobile GPUs. 359-371 - Naveen Namashivayam, Krishna Kandalla, Pen-Chung Yew, Trey White, Larry Kaplan, Mark Pagel:
GPU Stream-Aware Communication for Effective Pipelining. 372-384 - Alen Sabu, Harish Patil, Wim Heirman, Changxi Liu, Trevor E. Carlson:
TPE: XPU-Point: Simulator-Agnostic Sample Selection Methodology for Heterogeneous CPU-GPU Applications. 385-400 - Botao Wu, Martin Kong:
Generating Two-Level, GPU-Aware Mappings for Distributed Tensor Computations. 401-415 - Jiaxin Liu, Rubao Lee, Cathy H. Xia, Xia Odong Zhang:
A Stable Marriage Requires a Shared Residence with Low Contention and Mutual Complementarity. 416-430 - Yi Zhou, Qinglin Wang, Lian Wang, Zhiyan Liu, Bingwei Wang, Feiming Liu, Xiangdong Pei, Jie Liu:
Optimize Winograd Convolution for a Novel MIMD Many-core Architecture PEZY-SC3s. 431-443 - Zhuolun Jiang, Songyue Wang, Xiaokun Pei, Tianyue, Mingyu Chen:
CoroAMU: Unleashing Memory-Driven Coroutines through Latency-Aware Decoupled Operations. 444-457 - Geraldo F. Oliveira, Alain Kohli, David Novo, Ataberk Olgun, A. Giray Yaglikçi, Saugata Ghose, Juan Gómez-Luna, Onur Mutlu:
POSTER: DaPPA: A Data-Parallel Programming Framework for Processing-in-Memory Architectures. 458-460 - Bahram Afsharmanesh, Md. Musfiqur Rahman Sanim, AmirAli Mirian, Gagan Agrawal:
Poster: HeteroSched: Co-Optimizing Scheduling and Parallelization for Deep Learning Workloads. 461-463 - Sanil Rao, Mohammad Alaul Haque Monil, Het Mankad, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Franz Franchetti:
POSTER: IRISX: A Dynamic Trade-off System for Performance Portability on Multi-Accelerator Platforms. 464-466 - Manos Frouzakis, Juan Gómez-Luna, Geraldo F. Oliveira, Mohammad Sadrosadati, Onur Mutlu:
POSTER: PIMAP: Characterizing a Real Processing-in-Memory System for Analytical Data Processing. 467-469 - Haiyue Ma, Kaifeng Xu, David Wentzlaff:
Poster:Value-Aware Scheduler for Energy Reduction. 470-472
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