Efficiently running SpMV on long vector architectures | Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Efficiently running SpMV on long vector architectures | Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
acm.orgFeb 19, 2021
MatXtract: Sparsity-Aware Matrix Transformation via Cascaded Compute Density EXtraction for SpMV | ACM Transactions on Architecture and Code Optimization
MatXtract: Sparsity-Aware Matrix Transformation via Cascaded Compute Density EXtraction for SpMV | ACM Transactions on Architecture and Code Optimization
acm.org5 months ago
Efficient Algorithm Design of Optimizing SpMV on GPU | Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing
Efficient Algorithm Design of Optimizing SpMV on GPU | Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing
acm.org4 months ago
Efficient SpMV Operation for Large and Highly Sparse Matrices using Scalable Multi-way Merge Parallelization | Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture
Efficient SpMV Operation for Large and Highly Sparse Matrices using Scalable Multi-way Merge Parallelization | Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture
acm.org4 months ago
Vectorizing SpMV by Exploiting Dynamic Regular Patterns | Proceedings of the 51st International Conference on Parallel Processing
Vectorizing SpMV by Exploiting Dynamic Regular Patterns | Proceedings of the 51st International Conference on Parallel Processing
acm.org4 months ago
PANA: A Fine-Grained Runtime-Adaptive Load Balancing for Parallel SpMV on Multicore CPUs | Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
PANA: A Fine-Grained Runtime-Adaptive Load Balancing for Parallel SpMV on Multicore CPUs | Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
acm.org5 months ago
Optimizing SpMV on Heterogeneous Multi-Core DSPs through Improved Locality and Vectorization | Proceedings of the 53rd International Conference on Parallel Processing
Optimizing SpMV on Heterogeneous Multi-Core DSPs through Improved Locality and Vectorization | Proceedings of the 53rd International Conference on Parallel Processing
acm.orgAug 8, 2024
HiSpMV: Hybrid Row Distribution and Vector Buffering for Imbalanced SpMV Acceleration on FPGAs | Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays
acm.org4 months ago
Towards High-Bandwidth-Utilization SpMV on FPGAs via Partial Vector Duplication | Proceedings of the 28th Asia and South Pacific Design Automation Conference
acm.orgFeb 1, 2023
Machine Learning-Based Kernel Selector for SpMV Optimization in Graph Analysis | ACM Transactions on Parallel Computing
acm.org5 months ago
Cerberus: Triple Mode Acceleration of Sparse Matrix and Vector Multiplication | ACM Transactions on Architecture and Code Optimization
acm.org3 months ago
Modular Construction and Optimization of the UZP Sparse Format for SpMV on CPUs | Proceedings of the ACM on Programming Languages
acm.orgJun 13, 2025
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Peluang Kemasukan Siswa Baharu Februari 2026 di USAS
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NAK JADI PENSYARAH POLITEKNIK DAN KOLEJ KOMUNITI? #suruhanjayaperkhidmatanpendidikan #spp #pensyarah #pensyarahpoliteknik #pensyarahkolejkomuniti #dh29 #dh41 #dh47 #spa #jomjadicikgu #cikgu #jomjadipensyarah #kpt #kpm #pdpp #mypdpp #fyp #fypシ #CapCut #spmv #spm
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Kenapa masih nak fikir dan pening kepala ? Haa adik adik tak perlu risau dah kalau nak sambung belajar . Tak perlu ada kredit SPM atau tiada kelayakan SPM pun boleh apply now 😏 Sebab apa ? Sebab Kolej Teknologi Bestari Caw. Ampang boleh adik . Banyak sungguh tawaran menarik untuk semua . ✅ Tempoh pengajian yang singkat hanya lebih kurang 2 tahun 6 bulan termasuk latihan industri ✅ Terbuka khas kepada pelajar lepasan PT3/SPM/SPMV yang tidak mempunyai keputusan yang memuaskan / tiada kredit dalam
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