ICS 2026 Program

All program times are in British Summer Time (BST, UTC+1). Workshop session locations are currently denoted Room [1-6] and will be specified later.

Monday Workshop Overview

Day	Time
Monday	08:00-09:00	Registration + Breakfast
	09:00-10:30	Workshop: MCCSys (Minor Hall)	Workshop: Benchmark (Boardroom)	Workshop: AI4HPCC (Mtng Room 1)	Workshop: Arch4Health (Mtng Room 3)	Workshop: WOCC'26 (Mtng Room 7)	Workshop: Ramulator and DRAM Bender (Mtng Room 6)
	10:30-11:00	Coffee
	11:00-12:30	Workshop: MCCSys (Minor Hall)	Workshop: Benchmark (Boardroom)	Workshop: AI4HPCC (Mtng Room 1)	Workshop: Arch4Health (Mtng Room 3)	Workshop: WOCC'26 (Mtng Room 7)	Workshop: Ramulator and DRAM Bender (Mtng Room 6)
	12:30-13:30	Lunch + Early Career Mentoring Session
	13:30-15:00	Workshop: MCCSys (Minor Hall)	Workshop: Benchmark (Boardroom)	Workshop: AI4HPCC (Mtng Room 1)	Workshop: Arch4Health (Mtng Room 3)	Workshop: PhysQ (Mtng Room 7)	Workshop: NextAccel (Mtng Room 6)
	15:00-15:30	Coffee
	15:30-17:00	Workshop: MCCSys (Minor Hall)	Workshop: Benchmark (Boardroom)	Workshop: AI4HPCC (Mtng Room 1)	Workshop: Arch4Health (Mtng Room 3)	Workshop: PhysQ (Mtng Room 7) (runs until 18:00)	Workshop: NextAccel (Mtng Room 6)

Tuesday-Wednesday-Thursday Session Overview

Day	Time	The Assembly Hall	Conference Room	Minor Hall
Tuesday	07:00-08:00	Registration + Breakfast
	08:10-09:20	Opening + Keynote (The Assembly Hall) Scaling AI Computing Sustainably: A Journey Towards Sustainable AI Dr. Carole Jean Wu, Director of AI Research at Meta
	09:20-10:20	Best Paper Candidates (Plenary, The Assembly Hall)
	10:20-10:50	Coffee
	10:50-12:10	Runtime Scheduling and Adaptive Execution	Compiler, Code Generation and Autotuning	Energy & Sustainability
	12:10-13:40	Lunch
	13:40-15:00	Performance Modeling & Insight	Fortran Mini-Workshop	I/O & Storage
	15:00-15:30	Coffee
	16:00 - 18:00	Tour of Belfast (Purchase of Ticket Required Beforehand)
	18:00 - 20:00	Reception at Dark Horse (Included for All Attendees)
Day	Time	The Assembly Hall	Conference Room	Minor Hall
Wednesday	07:30-08:10	Registration + Breakfast
	08:10-9:20	Keynote (The Assembly Hall) An Open-Source-First Approach: Multi-Level Compiler Design for AI and HPC Dr Tobias Grosser, Associate Professor in Compiler Design, University of Cambridge
	09:20-10:20	Lightning Talks/Posters (Plenary, The Assembly Hall) These are lightning talks based on the accepted posters
	10:20-10:50	Coffee
	10:50-12:10	AI Training Systems	Graph Search & Paths	Communication & Collectives
	12:10-13:40	Lunch + Poster Session
	13:40-15:00	LLM Serving	Graph Analytics	Near-Memory Architectures
	15:00-15:30	Coffee
	15:30-17:10	Data Analytics & Compression	Graph Traversal & Connectivity	CXL & Memory Systems
	18:00-20:00	Conference Toast and Tour of Queen's University Belfast (Included for All Attendees)
	20:00-22:00	Banquet at The Lanyon Building, Queen's University Belfast (Included for All Attendees)
Day	Time	The Assembly Hall	Conference Room	Minor Hall
Thursday	07:30-08:10	Registration + Breakfast
	08:10-9:20	Keynote (The Assembly Hall) Destination Earth: Digital twins of the earth system on Europe’s most powerful supercomputers Dr Ioan Hadade, Principal Computational Scientist and Team Leader of the HPC Applications team at the European Centre for Medium-Range Weather Forecasts (ECMWF)
	09:20-10:20	Cross-Layer Performance Optimization	(No sessions)
	10:20-10:50	Coffee
	10:50-12:10	AI Inference	GPU-Accelerated Query and Geometry	Resilience and Error Detection
	12:10-13:40	Lunch
	13:40-15:00	AI Kernels & Parallelism	Sparse & Tensor Kernels	Energy-Aware Systems
	15:00-15:30	Coffee
	15:30-17:10	Efficient Privacy Computing	Numerical & Scientific Kernels	Quantum Computing

ICS 2026 Paper Session Details

Tuesday 7 July 2026

Time	The Assembly Hall	Conference Room	Minor Hall
08:10- 09:20	Opening + Keynote Keynote: Scaling AI Computing Sustainably: A Journey Towards Sustainable AI Dr. Carole Jean Wu, Director of AI Research at Meta	(No sessions)
	Session Chair: Hans Vandierendonck
09:20- 10:20	Best Paper Candidates Coordinating GPU Data Centers and Power Grid Regulation Service for Exogenous Carbon Benefits A. Jahanshahi, S. Golrouye, O. Anderson, N. Yu, D. Wong FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving S. Gao, J. Yin, F. Wang, W. Dong OCTANE: Breaking the Neighbor-List Bottleneck in GPU Molecular Dynamics H. Toutouni, S. Chakraborty, Y. Tu, J. Huang	(No sessions)
	Session Chair: Didem Unat
10:50- 12:10	Runtime Scheduling and Adaptive Execution Barrier-Aware Task Scheduling for Bulk-Synchronous Parallel Architectures T. Noack, A. Koch FaaSlim: Partial Caching of Snapshot-based VMs for Serverless Computing S. Eom, C. Park, G. Lee, H. Moon, Y. Choi Block-Aware Adaptive State Management for Optimistic Parallel Discrete Event Simulation X. Peng, Q. Wang, G. Liu, C. Hong, R. Xia, Z. Sun, X. Chen, Q. Zhang, J. Liu Lock Shielding: A General Technique for Misuse-Resilient Locks V. Shahare, M. Chabbi, N. Hegde	Compiler, Code Generation and Autotuning GRASP: Optimizing VLIW Instruction Scheduling via Graph Reinforcement Learning Z. Wang, W. Tong, J. Fang, Y. Zhang, W. Wang, J. Ren, Z. Tang Continuation-Preserving Tiling for Pointer-Chasing Optimization in Structured Mutual Recursion A. Kumar, V. Singh, S. Biswas S2VEC: Compiler-Driven Stream Specialization for Linearized Vectorization L. Crespo, A. Fernandes, G. Falcao, P. Tomás, N. Roma, N. Neves CKTI: A Domain-Specific Compiler for Lowering CUDA Kernels to Triton-IR C. Shi, R. Chen, Y. Sun, Y. Sui, J. Zhang, Y. Xie, M. Wang, S. Ming, S. Zhang, Y. Zhang	Energy & Sustainability Wattchmen: Watching the Wattchers – High Fidelity, Flexible GPU Energy Modeling B. Tran, M. Maiterth, W. Shin, M. Sinclair, S. Venkataraman Agile QoS-aware Dynamic Power Management with eBPF Governors M. Rezvani, D. Wong SmartCap: Coordinated CPU–GPU Power Capping for Performance-Assurance Energy Efficiency Z. Zheng, X. Wu, V. Taylor, M. Papka, Z. Lan CATS: Correlation-aware Task Scheduling for GPU Power Optimization in AI Data Centers S. Subramaniyan, X. Wang
	Session Chair: Dimitrios Nikolopoulos	Session Chair: Shounak Chakraborty	Session Chair: Martin Kong
13:40- 15:00	Performance Modeling & Insight GRASP: Fine-grained and Adaptive Sampled Simulation for GPU Performance Modeling R. Xue, L. Chao, Z. Huang, P. Cai, J. Xue, T. Xiong Mantis: Decoding HPC Telemetry Data for Robust System Prediction Y. Lu, J. Ren, E. Smirni ViSim: A Lightweight SpMV Performance Simulator via Statistical and Visual Residual Learning S. Zhu, W. Huangfu, G. Chu TenProf: A Tensor-Centric Profiler for Deep Learning Workload Analysis and Optimization X. Ding, K. Zhou, Y. Hao, P. Su	Fortran Mini-Workshop: An interactive discussion of a recent survey of the international Fortran ecosystem led by Austen Rainer and Andrew Brown	I/O & Storage Harmonia: Enhancing Data Placement and Migration in Hybrid Storage Systems via Multi-Agent Reinforcement Learning R. Nadig, V. Arulchelvan, R. Bera, T. Shahroodi, G. Singh, A. Kakolyris, I. Yuksel, M. Sadrosadati, J. Park, O. Mutlu ColdMap: Compaction-Aware Cost-Benefit Zone Cleaning for ZNS-Based Key-Value Stores S. Byeon, K. Min, J. Park, S. Lee, H. Kim, J. Han, J. Hwang, Z. Cao, Y. Kim CoCache: Accelerating Reads in KV Stores via Cooperative Metadata and Data Cache Management H. Tang, W. Zhu, Q. Zhang, J. Zhang, J. Jiang, Z. Zhang, H. Zhang, Y. Li, Y. Xu TOTO: Transparent I/O Tuning for HPC Applications F. Boito, L. Teylo, M. Popov, L. Aimi, A. Bandet, L. Pilla, G. Pallez
	Session Chair: Lingqi Zhang		Session Chair: Zhiling Lan

Wednesday 8 July 2026

Time	The Assembly Hall	Conference Room	Minor Hall
08:10- 09:20	Keynote Keynote: An Open-Source-First Approach: Multi-Level Compiler Design for AI and HPC Dr Tobias Grosser, Associate Professor in Compiler Design, University of Cambridge	(No sessions)
	Session Chair: Miquel Moretó
09:20- 10:20	Lightning Talks/Posters These lightning talks are based on the accepted posters	(No sessions)
	Session Chair: Mark Endrei
10:50- 12:10	AI Training Systems Closing the Efficiency Gap: AI Datacenter Co-design Roadmap for Scalable Training of LLMs J. Tithi, H. Wu, J. Park, A. Abuhatzera, F. Petrini, T. Krishna Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents A. Sarkar, S. Ghosh, N. Tallent, A. Chadha, T. Roosta, A. Jannesari COMETS: Cost-effective Multi-node Efficient Training System with Memory Pooling and Sharing H. Chen, S. Yang, M. Soltaniyeh, S. Pei, A. Chang, B. Kim, C. Hao SPPO: Making Million-Token LLM Training Practical on Modest GPU Clusters Q. Chen, S. Li, W. Gao, P. Sun, Y. Wen, T. Zhang	Graph Search & Paths G-PathGen: An Efficient GPU-Parallel k-Critical Path Generation Algorithm C. Chang, Y. Chung, C. Chiu, W. Lee, B. Zhang, U. Schlichtmann, I. Lin, X. Yu, T. Huang *Parallel Bidirectional A Search for GPU-Accelerated Pathfinding H. Al Khansa, J. Luna, A. Mouawad, I. El Hajj MPMOS: Massively Parallel Multi-Objective Shortest Paths L. Gold, D. Sidoti, K. Pattipati, O. Khan DistroMatch: Distributed Disjoint Weighted Matchings in Demand-Aware Reconfigurable Optical Datacenters** K. Hanauer, S. Heck, S. Schmid	Communication & Collectives SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication C. Zhuang, L. Zhang, B. Brock, D. Wu, P. Chen, T. Endo, S. Matsuoka, M. Wahib PACER: A Userspace Network Rate Controller in MPI with Adaptive Compression for Parallel Applications Y. Li, D. Ng, A. Kashyap, S. Di, G. Li, X. Lu Skew-aware Adaptive All-to-allv Algorithms for Dynamic Deep Learning Workloads C. Wei, A. Bhatele StencilMD: Optimizing Communication in Molecular Dynamics Simulations R. Deng, T. Schardl
	Session Chair: Zheng Wang	Session Chair: Tobias Grosser	Session Chair: Brian Dandurand
13:40- 15:00	LLM Serving Taming Dynamic Diffusion LLM Inference through Virtual Static Execution J. Zhu, H. Wu, Y. Li, H. Wang, R. Li, J. Zhai SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving Q. Zhou, P. Yin, P. Zuo, C. Wang, J. Cheng InferFast: Bridging the Gap Between Unstructured LLM Sparsity and Practical GPU Throughput Z. Shen, W. Bu, K. Sheng, H. Chen, X. He dLLM-Serve: Bridging the Memory Gap in Diffusion Language Model Serving J. Fan, Y. Zhang, X. Li, D. Nikolopoulos	Graph Analytics DCSM: Enabling Inter-Batch Parallelism for Continuous Subgraph Matching on GPU Y. Wei, P. Jiang SVSIG: Incremental Streaming Graph Processing with Source Vertex Suppression J. Huang, X. Yan, D. Fu, H. Bian, T. Cao, Z. Li GAAF: Fast and Scalable Graph-based Vector Similarity Search with Any-Match Label Filtering M. Ma, X. Yin, J. Qiu HoloGraph: Bridging the Throughput Gap in Heterogeneous Graph Pattern Matching via Workload-Aware Steering M. Haotian, W. Hsu, Y. Chung	Near-Memory Architectures DANMP: Accelerating Multi-Scale Deformable Attention Using Near-Memory-Processing Architecture H. Li, Q. Wang, B. Gao, D. Chen, Y. Huang, X. Xin RPFC: A Router Partitioning and Forward Channel Routing Framework for 2.5D MCM System S. Tao, Z. Guo, T. Liu, J. Wang UpDown: Efficient Manycore based on Many Threading and Scalable Memory Parallelism A. Rajasukumar, R. Xu, T. Zhang, Y. Wang, T. Su, M. Nourian, J. Ding, J. Su, R. Khandelwal, A. Fell, D. Gleich, Y. Li, H. Hoffmann, A. Chien Clutch: High Performance Vector-Scalar Comparison using DRAM via Chunked Temporal Coding D. Tokuda, T. Kubo, I. Yuksel, A. Olgun, H. Luo, T. Nagatani, G. De Oliveira Jr., A. Yağlıkçı, M. Sadrosadati, O. Mutlu, S. Takamaeda-Yamazaki
	Session Chair: Ali Jannesari	Session Chair: Marco D'Antonio	Session Chair: Shounak Chakraborty
15:30- 17:10	Data Analytics & Compression GPZ: GPU-Accelerated Lossy Compressor for Particle Data R. Li, Y. Huang, L. Zhang, Z. Yang, S. Di, B. Zhang, J. Huang, J. Liu, J. Tian, G. Li, F. Song, H. Guo, F. Cappello, K. Zhao GFAz: State-of-the-Art Graphical Fragment Assembly Compression T. Yang, Y. Liu, B. Jiang, X. Shi, S. Jin Optimizing Streaming Tensor Decomposition on GPU W. Lin, J. Sheng, S. Feng, M. Dun, H. Cao, Q. Sun DA-MLAD: Drift-Decomposed Meta-Learning for Continual Log Anomaly Detection in Supercomputing Systems K. Tan, Y. Du, D. Zhan, Y. Xie, H. Yu, B. Zhao, H. Liu TADS: Trend-Aware Dynamic Load Balancing for Large-Scale SNN Simulations with Delay-Sharded Graph Infrastructure H. Huang, S. Pang, Y. Zeng, G. Feng, Z. Chen, Y. Lu	Graph Traversal & Connectivity BLEST: Blazingly Efficient BFS using Tensor Cores D. Elbek, K. Kaya DynLP: Parallel Dynamic Batch Update for Label Propagation in Graph-based Semi-Supervised Learning S. Shovan, A. Khanda, S. Ferdous, S. Das, M. Halappanavar Parametric Mappings for Distributed-Memory Tensor Computations B. Wu, M. Kong cuMIS: A Unified Scalable Framework for Computing Maximal Independent Sets on Trillion-Edge Graphs J. Nke, S. Kang, B. Rees, C. Lee CORE-BFS: Communication-Optimized REctangular-partitioned BFS Achieving 160.845 TeraTEPS on Frontier Supercomputer H. Yang, H. Lu, M. Matheson, F. Wang, H. Liu	CXL & Memory Systems CXL-CCL: Inter-Node Collective GPU-Communication Using a CXL Shared Memory Pool D. Xu, H. Meng, X. Chen, D. Zhu, W. Tang, F. Liu, L. Xie, W. Xiang, R. Shi, Y. Li, H. Hu, H. Zhang, J. Jiang, D. Li IBEX: Internal Bandwidth‑Efficient Compression Architecture for Scalable CXL Memory Expansion Y. Ko, H. Park, H. Lee, H. Lee Clone: A Collaborative Multi-device System for Retrieval-Augmented Generation over CXL S. Ko, W. Doh, E. Na, H. Shim, S. Yun, J. So, Y. Kwon, S. Park, S. Roh, M. Yoon, T. Song, E. Lee, J. Ahn Anchoring Whole-System Persistence and Resilience in CXL Y. Zhou, J. Zeng, C. Jung Griffin: Coherency-Aware Task Scheduling and Memory Allocation for CXL Interconnects S. Lee, K. Diab, D. Tootaghaj, L. Cao, P. Sharma, A. Gavrilovska
	Session Chair: Max Doblas	Session Chair: Antonino Tumeo	Session Chair: Abhinav Bhatele

Thursday 9 July 2026

Time	The Assembly Hall	Conference Room	Minor Hall
08:10- 09:20	Keynote + Best poster/paper awards Keynote: Destination Earth: Digital twins of the earth system on Europe’s most powerful supercomputers Dr Ioan Hadade, Principal Computational Scientist and Team Leader of the HPC Applications team at the European Centre for Medium-Range Weather Forecasts (ECMWF)	(No sessions)
	Session Chair: Bronis de Supinski
09:20- 10:20	Cross-Layer Performance Optimization THAC: Unlocking Performance in Parallel HPC Applications via UQ-Aware Automated Approximation Z. Zhao, Q. Wang, B. Yang, X. Chen, J. Liu, B. Wang Cross-Architecture Autotuning for Single-Source Heterogeneous Programming Models H. Abram, N. Papadopoulou, J. Domke, M. Pericàs Look Before You Leap : Precision Instruction Supply via SmartScout X. Zhang, P. Qu, T. Zhang, F. Su, Z. Pan, Y. Zhang	(No sessions)
	Session Chair: Paul Kelly
10:50- 12:10	AI Inference LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers E. Yu, D. Dong, Z. Zhang, Z. Bai, W. Yang, H. Wang, D. Li, Y. Wu, X. Liao Aurora: A Disaggregated GPU-PNM-PIM System for High-Throughput Mixed-Length LLM Inference H. Kim, S. Yu, M. Kim, J. Lee, H. Sung, E. Lee HOPO: Accelerating Multimodal Neural Networks Inference via Holistic Parallelism Optimization Y. Zheng, J. Sun, H. Li, G. Sun, J. Li Latency-SLO-Aware Memory Offloading for Large Language Model Inference C. Ma, H. Zhao, Z. Ye, Z. Yang, T. Fu, J. Han, J. Zhang, Y. Luo, X. Wang, Z. Wang, Y. Li, D. Zhou	GPU-Accelerated Query and Geometry Parallel Query Processing through Optimal Key Grouping on GPU-Based B+-Trees Z. Chen, J. Li, J. Meng, N. Pitaksirianan, Y. Tu, B. Zeng, C. Dong X-HD: Fast Hausdorff Distance Computation with Ray Tracing L. Geng, Z. Yuan, R. Lee, F. Wang, X. Zhang Rethinking Collision Detection on GPU Ray Tracing Architecture D. Mandarapu, I. Fuksman, A. Pelenitsyn, G. Bernstein, M. Kulkarni	Resilience and Error Detection Not All Errors Are Equal: A Systematic Study of Error Propagation in Large Language Model Inference Y. Huang, S. Di, G. Li SpinTune: Improving the Reliability of Quantum Sensor Networks for Practical Quantum-Classical Utility J. Ludmir, N. DiBrita, J. Han, T. Patel Harnessing MPI mutations for AI error detection A. Auville, T. Jammer, E. Petit, P. Castro, E. Saillard, M. Popov StreamGuard: Low-Overhead Resilience for Real-time HPC Data Streams H. Nguyen, B. Nicolae, T. Bicer, A. Gueroudji, M. Dorier, K. Chard, I. Foster
	Session Chair: Giulia Guidi	Session Chair: Doru Thom Popovici	Session Chair: Olga Pearce
13:40- 15:00	AI Kernels & Parallelism HPMD: Enabling Hybrid Parallelism with Multi-Dimensional Adaptive DNN Training G. Yun, Y. Choi EPLoN: Exploiting Efficient Parallelism with Selective Rematerialization for Lightning Attention on Ascend NPU H. Bao, Z. Su, A. Setyaev, S. Kamenev, A. Gneushev, K. Zhao, J. Xiao, H. Lin, A. Bistrigova, S. Buzykanov, E. Tetin, G. Tan, B. Liu, X. Zou, Z. Dong, C. Korikov, X. Yu, Z. Hu DynSpAttn: Efficient Attention via Dual-Side Dynamic Sparsity on Sparse Tensor Cores X. Yu, R. Fan, Z. Li, W. Luo, G. Gong, X. Chu Three Birds, One Stone: Fast, Accurate-aware and Cost-Efficient Accelerator for Ternary LLM W. Jung, J. Kang, S. Shin, H. Um, J. Lim, Y. Park, G. Koo, S. Park, T. Suh	Sparse & Tensor Kernels Communication-Avoiding SpGEMM via Trident Partitioning on Hierarchical GPU Interconnect J. Bellavita, L. Pichetti, T. Pasquali, F. Vella, G. Guidi Ocean: Fast Estimation-Based Sparse General Matrix-Matrix Multiplication on GPU Y. Li, G. Guidi PolyKAN: A High-Performance and Universal GPU Operator Library for Polynomial Kolmogorov-Arnold Networks M. Yu, H. Zhong, J. Jiang, D. Huang, Y. Lu	Energy-Aware Systems DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes J. Chen, M. Pericàs Phase-aware Peak Power Reduction for Minimizing the Capital Expense of LLM Inference S. Wu, Y. Ma, X. Wang Exploiting Hybrid Energy Storage to Minimize the Carbon Footprint of AI Data Centers S. Wu, X. Wang The Performance-Power Frontier: A Model-Driven Approach to Energy-Aware Application Optimisation S. Pasupuleti, S. Wright
	Session Chair: Taeweon Suh	Session Chair: Doru Thom Popovici	Session Chair: Maxime Gonthier
15:30- 17:10	Efficient Privacy Computing MegaZK: A Memory Efficient GPU System Accelerating End-to-end Zero-Knowledge Proof M. Li, Y. Yu, B. Wang, X. Fan, M. Gao, S. Deng SumcheckPIM: An Efficient HBM-Based PIM Architecture for Linear Complexity Zero Knowledge Proofs S. Kim, T. Kang, S. Shin, T. Suh, Y. Yang, G. Koo GPIR: Enabling Practical Private Information Retrieval with GPUs H. Ji, H. Yu, J. Kim, W. Choi, G. Suh, J. Ahn Scaling Long-Sequence Homomorphic Encrypted Transformer Inference via Hybrid Parallelism on Multi-GPU Systems Z. Gong, R. Ran, F. Yao, W. Wen CipherSkip: Efficient Sparse Matrix Multiplication with FHE W. Xiong, H. Zhou, Y. Ye, R. Jin, L. Xu	Numerical & Scientific Kernels WindStencil: Unleashing GPU Potential for High-Order Stencil Computation in High-Performance Inviscid CFD Simulations X. Zhang, H. Zhang, X. Liu, J. Li, R. Jin, J. Zhang, W. Yuan, S. Liang, Z. Lu Cheetah: Optimizing Execution Pipelines for Matrix-Free Finite Element Operators on GPUs J. Ren, H. Ltaief, S. Zampini, D. Keyes AdaPolySI: Adaptive Polynomial Filtered Subspace Iteration for Hermitian Interior Eigenvalue Problems Y. Ni, X. Xu, S. Li, J. Zhang, J. Chen, J. Wang, J. Roman Non-Delayed Cholesky Factorization Y. Luo, H. Chen, S. Zhang, W. Liu Parallel Quadratic Selected Inversion in Quantum Transport Simulation V. Maillou, M. Bollhofer, O. Schenk, A. Ziogas, M. Luisier	Quantum Computing quEStab: Towards Scalable Quantum Circuit Simulation on Multi-GPU using an Extended Stabilizer Formalism H. Shin, S. Lee, M. Kwak, Y. Kim EZCache: A Hierarchical Memory System for Zoned Neutral Atom Quantum Computers J. Zhong, Y. Deng, H. Jiang, J. Feng TuniQ: Autotuning Compilation Passes for Quantum Workloads at Scale for Effectiveness and Efficiency M. Hasanat, J. Ludmir, T. Patel, R. Roy C-3PQ: A Closeness Centrality-based Circuit Partitioner for Quantum Simulations D. Popovici, H. Lee, N. Yoshioka, M. Ben, N. Ito, K. Klymko, D. Camps, A. Butko Diagonal-Budgeted Trotterization for Efficient Quantum Hamiltonian Simulation S. Chundury, B. Burgstahler, J. Li, I. Suh, F. Mueller
	Session Chair: Didem Unat	Session Chair: Giulia Guidi	Session Chair: Miquel Moretó

ICS 2026 Program

Monday Workshop Overview

Day

Time

Monday

08:00-09:00

Registration + Breakfast

09:00-10:30

Workshop: MCCSys(Minor Hall)

Workshop: Benchmark(Boardroom)

Workshop: AI4HPCC(Mtng Room 1)

Workshop: Arch4Health(Mtng Room 3)

Workshop: WOCC'26(Mtng Room 7)

Workshop: Ramulator and DRAM Bender(Mtng Room 6)

10:30-11:00

Coffee

11:00-12:30

Workshop: MCCSys(Minor Hall)

Workshop: Benchmark(Boardroom)

Workshop: AI4HPCC(Mtng Room 1)

Workshop: Arch4Health(Mtng Room 3)

Workshop: WOCC'26(Mtng Room 7)

Workshop: Ramulator and DRAM Bender(Mtng Room 6)

12:30-13:30

Lunch + Early Career Mentoring Session

13:30-15:00

Workshop: MCCSys(Minor Hall)

Workshop: Benchmark(Boardroom)

Workshop: AI4HPCC(Mtng Room 1)

Workshop: Arch4Health(Mtng Room 3)

Workshop: PhysQ(Mtng Room 7)

Workshop: NextAccel (Mtng Room 6)

15:00-15:30

Coffee

15:30-17:00

Workshop: MCCSys(Minor Hall)

Workshop: Benchmark(Boardroom)

Workshop: AI4HPCC(Mtng Room 1)

Workshop: Arch4Health(Mtng Room 3)

Workshop: PhysQ(Mtng Room 7)(runs until 18:00)

Workshop: NextAccel (Mtng Room 6)

Tuesday-Wednesday-Thursday Session Overview

Day

Time

The Assembly Hall

Conference Room

Minor Hall

Tuesday

07:00-08:00

Registration + Breakfast

08:10-09:20

Opening + Keynote (The Assembly Hall) Scaling AI Computing Sustainably: A Journey Towards Sustainable AI Dr. Carole Jean Wu, Director of AI Research at Meta

09:20-10:20

10:20-10:50

Coffee

10:50-12:10

12:10-13:40

Lunch

13:40-15:00

15:00-15:30

Coffee

16:00 - 18:00

Tour of Belfast (Purchase of Ticket Required Beforehand)

18:00 - 20:00

Reception at Dark Horse(Included for All Attendees)

Day

Time

The Assembly Hall

Conference Room

Minor Hall

Wednesday

07:30-08:10

Registration + Breakfast

08:10-9:20

Keynote (The Assembly Hall) An Open-Source-First Approach: Multi-Level Compiler Design for AI and HPC Dr Tobias Grosser, Associate Professor in Compiler Design, University of Cambridge

09:20-10:20

Lightning Talks/Posters (Plenary, The Assembly Hall)These are lightning talks based on the accepted posters

10:20-10:50

Coffee

10:50-12:10

Workshop: MCCSys
(Minor Hall)

Workshop: Benchmark
(Boardroom)

Workshop: AI4HPCC
(Mtng Room 1)

Workshop: Arch4Health
(Mtng Room 3)

Workshop: WOCC'26
(Mtng Room 7)

Workshop: Ramulator and DRAM Bender
(Mtng Room 6)

Workshop: MCCSys
(Minor Hall)

Workshop: Benchmark
(Boardroom)

Workshop: AI4HPCC
(Mtng Room 1)

Workshop: Arch4Health
(Mtng Room 3)

Workshop: WOCC'26
(Mtng Room 7)

Workshop: Ramulator and DRAM Bender
(Mtng Room 6)

Workshop: MCCSys
(Minor Hall)

Workshop: Benchmark
(Boardroom)

Workshop: AI4HPCC
(Mtng Room 1)

Workshop: Arch4Health
(Mtng Room 3)

Workshop: PhysQ
(Mtng Room 7)

Workshop: NextAccel
(Mtng Room 6)

Workshop: MCCSys
(Minor Hall)

Workshop: Benchmark
(Boardroom)

Workshop: AI4HPCC
(Mtng Room 1)

Workshop: Arch4Health
(Mtng Room 3)

Workshop: PhysQ
(Mtng Room 7)
(runs until 18:00)

Workshop: NextAccel
(Mtng Room 6)

Opening + Keynote (The Assembly Hall)
Scaling AI Computing Sustainably: A Journey Towards Sustainable AI
Dr. Carole Jean Wu, Director of AI Research at Meta

Tour of Belfast
(Purchase of Ticket Required Beforehand)

Reception at Dark Horse
(Included for All Attendees)

Keynote (The Assembly Hall)
An Open-Source-First Approach: Multi-Level Compiler Design for AI and HPC
Dr Tobias Grosser, Associate Professor in Compiler Design, University of Cambridge

Lightning Talks/Posters (Plenary, The Assembly Hall)
These are lightning talks based on the accepted posters

Conference Toast and Tour of Queen's University Belfast
(Included for All Attendees)

Banquet at The Lanyon Building, Queen's University Belfast
(Included for All Attendees)

Keynote (The Assembly Hall)
Destination Earth: Digital twins of the earth system on Europe’s most powerful supercomputers
Dr Ioan Hadade, Principal Computational Scientist and Team Leader of the HPC Applications team at the European Centre for Medium-Range Weather Forecasts (ECMWF)