3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering by Huang, Wei-Hsing, Shih, Cheng-Jhih, Su, Jian-Wei, Wang, Samuel, Garg, Vaidehi, Kong, Yuyao, Tien, Jen-Chun, Li, Nealson, Raychowdhury, Arijit, Chang, Meng-Fan, Lin, Yingyan (Celine), Yu, Shimeng

Seer: Predictive Runtime Kernel Selection for Irregular Problems by Swann, Ryan, Osama, Muhammad, Sangaiah, Karthik, Mahmud, Jalal

DFTWS: Deterministic, Fair and Transparent Winner Selection for the Useful Work Blockchain Gophy by Hoffmann, Felix

GPU Acceleration of RSA is Vulnerable to Side-channel Timing Attacks by Luo, Chao, Fei, Yunsi, Kaeli, David

Retracted March 9, 2026: Heterogeneous Big Data Parallel Computing Optimization Model using MPI/OpenMP Hybrid and Sensor Networks by Yin, Fei, Shi, Feng

Guest Editorial: TSAS Special Issue on Parallel and Distributed Processing of Spatial Data: Algorithms and Systems by Eldawy, Ahmed, Tao, Yufei

VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores by Castro, Roberto L., Ivanov, Andrei, Andrade, Diego, Ben-Nun, Tal, Fraguela, Basilio B., Hoefler, Torsten

Utilizing Parallelism in Smart Contracts on Decentralized Blockchains by Taming Application-Inherent Conflicts by Garamvolgyi, Peter, Liu, Yuxi, Zhou, Dong, Long, Fan, Wu, Ming

Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM by Narayanan, Deepak, Shoeybi, Mohammad, Casper, Jared, LeGresley, Patrick, Patwary, Mostofa, Korthikanti, Vijay, Vainbrand, Dmitri, Kashinkunti, Prethvi, Bernauer, Julie, Catanzaro, Bryan, Phanishayee, Amar, Zaharia, Matei

Legate Sparse: Distributed Sparse Computing in Python by Yadav, Rohan, Lee, Wonchan, Elibol, Melih, Patti, Taylor Lee, Papadakis, Manolis, Garland, Michael, Aiken, Alex, Kjolstad, Fredrik, Bauer, Michael

Parallel Top-K Algorithms on GPU: A Comprehensive Study and New Methods by Zhang, Jingrong, Naruse, Akira, Li, Xipeng, Wang, Yong

MnnFast: A Fast and Scalable System Architecture for Memory-Augmented Neural Networks by Jang, Hanhwi, Kim, Joonsung, Jo, Jae-Eon, Lee, Jaewon, Kim, Jangwoo

One Automaton to Rule Them All: Beyond Multiple Regular Expressions Execution by Cicolini, Luisa, Carloni, Filippo, Santambrogio, Marco D., Conficconi, Davide

A data locality-aware design framework for reconfigurable sparse matrix-vector multiplication kernel by Sicheng Li, Yandan Wang, Wujie Wen, Yu Wang, Yiran Chen, Hai Li

ISLU: Indexing-Efficient Sparse LU Factorization for Circuit Simulation on GPUs (Invited Paper) by Niu, Dan, Tao, Yiyang, Jin, Zhou, Dong, Yichao, Wang, Chao, Sun, Changyin

Exploring the Ultimate Regime of Turbulent Rayleigh-Bénard Convection Through Unprecedented Spectral-Element Simulations by Jansson, Niclas, Karp, Martin, Perez, Adalberto, Mukha, Timofey, Ju, Yi, Liu, Jiahui, Pall, Szilard, Laure, Erwin, Weinkauf, Tino, Schumacher, Jorg, Schlatter, Philipp, Markidis, Stefano

LLM-Based Java Concurrent Program to ArkTS Converter by Liu, Runlin, Lin, Yuhang, Hu, Yunge, Zhang, Zhe, Gao, Xiang

DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks by Md, Vasimuddin, Misra, Sanchit, Ma, Guixiang, Mohanty, Ramanarayan, Georganas, Evangelos, Heinecke, Alexander, Kalamkar, Dhiraj, Ahmed, Nesreen K., Avancha, Sasikanth

LazyLog: A New Shared Log Abstraction and Design for Modern Low-Latency Applications by Luo, Xuhao, Bhat, Shreesha Gopalakrishna, Hu, Jiyu, Alagappan, Ramnatthan, Ganesan, Aishwarya

Qilin: exploiting parallelism on heterogeneous multiprocessors with adaptive mapping by Luk, Chi-Keung, Hong, Sunpyo, Kim, Hyesoon