| 2024 | A Framework for Parallelizing Approximate Gaussian Elimination. Yves Baumann, Rasmus Kyng |
| 2024 | A Nearly Quadratic Improvement for Memory Reallocation. Martin Farach-Colton, William Kuszmaul, Nathan S. Sheffield, Alek Westover |
| 2024 | A Simpler and Parallelizable O(√log n)-approximation Algorithm for Sparsest Cut. Vladimir Kolmogorov |
| 2024 | ALock: Asymmetric Lock Primitive for RDMA Systems. Amanda Baran, Jacob Nelson-Slivon, Lewis Tseng, Roberto Palmieri |
| 2024 | An Optimal MPC Algorithm for Subunit-Monge Matrix Multiplication, with Applications to LIS. Jaehyun Koo |
| 2024 | Brief Announcement: (Near) Zero-Overhead C++ Bindings for MPI. Demian Hespe, Lukas Hübner, Florian Kurpicz, Peter Sanders, Matthias Schimek, Daniel Seemaier, Tim Niklas Uhl |
| 2024 | Brief Announcement: A Fast Scalable Detectable Unrolled Lock-Based Linked List. Ahmed Fahmy, Wojciech Golab |
| 2024 | Brief Announcement: Distributed Unconstrained Local Search for Multilevel Graph Partitioning. Peter Sanders, Daniel Seemaier |
| 2024 | Brief Announcement: LIT: Lookup Interlocked Table for Range Queries. dePaul Miller, Ahmed Hassan, Roberto Palmieri |
| 2024 | Brief Announcement: Lock-free Learned Search Data Structure. Gaurav Bhardwaj, Bapi Chatterjee, Abhinav Sharma, Sathya Peri, Siddharth Nayak |
| 2024 | Brief Announcement: Low-Bandwidth Matrix Multiplication: Faster Algorithms and More General Forms of Sparsity. Chetan Gupta, Janne H. Korhonen, Jan Studený, Jukka Suomela, Hossein Vahidi |
| 2024 | Brief Announcement: Minimizing the Weighted Average Shortest Path Length in Demand-Aware Networks via Matching Augmentation. Aleksander Figiel, Darya Melnyk, André Nichterlein, Arash Pourdamghani, Stefan Schmid |
| 2024 | Brief Announcement: New Pruning Rules for Optimal Task Scheduling on Identical Parallel Machines. Matthew Akram, Dominik Schreiber |
| 2024 | Brief Announcement: PASGAL: Parallel And Scalable Graph Algorithm Library. Xiaojun Dong, Yan Gu, Yihan Sun, Letong Wang |
| 2024 | Brief Announcement: ROMe: Wait-free Objects for RDMA. Jacob Nelson-Slivon, Reilly Yankovich, Ahmed Hassan, Roberto Palmieri |
| 2024 | Brief Announcement: Racos: A Leaderless Erasure Coding State Machine Replication. Jonathan Zarnstorff, Lucas Lebow, Dillon Remuck, Colin Ruiz, Lewis Tseng |
| 2024 | Brief Announcement: Red-Blue Pebbling with Multiple Processors: Time, Communication and Memory Trade-offs. Toni Böhnlein, Pál András Papp, Albert-Jan Nicholas Yzelman |
| 2024 | Brief Announcement: Root-to-Leaf Scheduling in Write-Optimized Trees. Christopher Chung, William Jannen, Samuel McCauley, Bertrand Simon |
| 2024 | Brief Announcement: Scalable Distributed String Sorting. Florian Kurpicz, Pascal Mehnert, Peter Sanders, Matthias Schimek |
| 2024 | Brief Announcement: Scheduling Jobs for Minimum Span: Improved Bounds and Learning-Augmented Algorithms. Mozhengfu Liu, Xueyan Tang |
| 2024 | Brief Announcement: Suffix Analysis. Carter Luck, Charles McGuffey |
| 2024 | Brief Announcement: Tight bounds for Dynamic Bin Packing with Predictions. Mozhengfu Liu, Xueyan Tang |
| 2024 | Brief Announcement: Upper and Lower Bounds for Edit Distance in Space-Efficient MPC. Debarati Das, Jacob Gilbert, MohammadTaghi Hajiaghayi, Tomasz Kociumaka, Barna Saha |
| 2024 | Brief Announcement: Work Stealing through Partial Asynchronous Delegation. Jiawei Wang, Yutao Liu, Ming Fu, Hermann Härtig, Haibo Chen |
| 2024 | Connected Components in Linear Work and Near-Optimal Time. Alireza Farhadi, Sixue Cliff Liu, Elaine Shi |
| 2024 | Cost-Driven Data Replication with Predictions. Tianyu Zuo, Xueyan Tang, Bu-Sung Lee |
| 2024 | Deterministic and Low-Span Work-Efficient Parallel Batch-Dynamic Trees. Daniel Anderson, Guy E. Blelloch |
| 2024 | Distributed Load Balancing in the Face of Reappearance Dependencies. Kunal Agrawal, William Kuszmaul, Zhe Wang, Jinhao Zhao |
| 2024 | Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition. Vivek Bharadwaj, Osman Asif Malik, Riley Murray, Aydin Buluç, James Demmel |
| 2024 | Efficient Multi-Processor Scheduling in Increasingly Realistic Models. Pál András Papp, Georg Anegg, Aikaterini Karanasiou, Albert-Jan Nicholas Yzelman |
| 2024 | Efficient Parallel Reinforcement Learning Framework Using the Reactor Model. Jacky Kwok, Marten Lohstroh, Edward A. Lee |
| 2024 | Expediting Hazard Pointers with Bounded RCU Critical Sections. Jeonghyeon Kim, Jaehwang Jung, Jeehoon Kang |
| 2024 | Fast Broadcast in Highly Connected Networks. Shashwat Chandra, Yi-Jun Chang, Michal Dory, Mohsen Ghaffari, Dean Leitersdorf |
| 2024 | Fault-Tolerant Parallel Integer Multiplication. Roy Nissim, Oded Schwartz, Yuval Spiizer |
| 2024 | Hardness and Tight Approximations of Demand Strip Packing. Klaus Jansen, Malin Rau, Malte Tutas |
| 2024 | Log Diameter Rounds MST Verification and Sensitivity in MPC. Sam Coy, Artur Czumaj, Gopinath Mishra, Anish Mukherjee |
| 2024 | Massively Parallel Algorithms for Approximate Shortest Paths. Michal Dory, Shaked Matar |
| 2024 | Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network. Raghavendra Kanakagiri, Edgar Solomonik |
| 2024 | Multi Bucket Queues: Efficient Concurrent Priority Scheduling. Guozheng Zhang, Gilead Posluns, Mark C. Jeffrey |
| 2024 | Online Load and Graph Balancing for Random Order Inputs. Sungjin Im, Ravi Kumar, Shi Li, Aditya Petety, Manish Purohit |
| 2024 | Optimal Parallel Algorithms for Dendrogram Computation and Single-Linkage Clustering. Laxman Dhulipala, Xiaojun Dong, Kishen N. Gowda, Yan Gu |
| 2024 | Optimizing Dynamic Data Center Provisioning through Speed Scaling: A Primal-Dual Perspective. Xiaosong Chen, Huanle Xu, Chengzhong Xu |
| 2024 | PC-oriented Prediction-based Runtime Power Management for GPGPU using Knowledge Transfer. Lin Chen, Xiao Li, Shixi Chen, Fan Jiang, Chengeng Li, Wei Zhang, Jiang Xu |
| 2024 | Parallel Best Arm Identification in Heterogeneous Environments. Nikolai Karpov, Qin Zhang |
| 2024 | Parallel Dynamic Maximal Matching. Mohsen Ghaffari, Anton Trygub |
| 2024 | Parallel and (Nearly) Work-Efficient Dynamic Programming. Xiangyun Ding, Yan Gu, Yihan Sun |
| 2024 | PolarStar: Expanding the Horizon of Diameter-3 Networks. Kartik Lakhotia, Laura Monroe, Kelly Isham, Maciej Besta, Nils Blach, Torsten Hoefler, Fabrizio Petrini |
| 2024 | Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2024, Nantes, France, June 17-21, 2024 Kunal Agrawal, Erez Petrank |
| 2024 | Scheduling Jobs with Work-Inefficient Parallel Solutions. William Kuszmaul, Alek Westover |
| 2024 | Scheduling Out-Trees Online to Optimize Maximum Flow. Kunal Agrawal, Benjamin Moseley, Heather Newman, Kirk Pruhs |
| 2024 | Sparse Spanners with Small Distance and Congestion Stretches. Costas Busch, Dariusz R. Kowalski, Peter Robinson |
| 2024 | Stable Blockchain Sharding under Adversarial Transaction Generation. Ramesh Adhikari, Costas Busch, Dariusz R. Kowalski |
| 2024 | The All Nearest Smaller Values Problem Revisited in Practice, Parallel and External Memory. Nodari Sitchinava, Rolf Svenning |
| 2024 | Tightening I/O Lower Bounds through the Hourglass Dependency Pattern. Lionel Eyraud-Dubois, Guillaume Iooss, Julien Langou, Fabrice Rastello |
| 2024 | When Is Parallelism Fearless and Zero-Cost with Rust? Javad Abdi, Gilead Posluns, Guozheng Zhang, Boxuan Wang, Mark C. Jeffrey |