Cover Image

TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Shixun, Zhai, Yujia, Liu, Jinyang, Huang, Jiajun, Jian, Zizhe, Dai, Huangliang, Di, Sheng, Chen, Zizhong, Cappello, Franck
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs
by: Wu, Shixun, et al.
Published: (2024)

TurboFNO: High-Performance Fourier Neural Operator with Fused FFT-GEMM-iFFT on GPU
by: Wu, Shixun, et al.
Published: (2025)

FT K-means: A High-Performance K-means on GPU with Fault Tolerance
by: Wu, Shixun, et al.
Published: (2024)

FT-Transformer: Resilient and Reliable Transformer with End-to-End Fault Tolerant Attention
by: Dai, Huangliang, et al.
Published: (2025)

DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership
by: Wu, Shixun, et al.
Published: (2024)

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters
by: Huang, Jiajun, et al.
Published: (2023)

High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation
by: Liu, Jinyang, et al.
Published: (2023)

Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration
by: Wu, Shixun, et al.
Published: (2025)

cuSZ-$i$: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation
by: Liu, Jinyang, et al.
Published: (2023)

An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression
by: Huang, Jiajun, et al.
Published: (2023)

ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression
by: Huang, Jiajun, et al.
Published: (2025)

GPZ: GPU-Accelerated Lossy Compressor for Particle Data
by: Li, Ruoyu, et al.
Published: (2025)

IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications
by: Yang, Zhuoxun, et al.
Published: (2025)

SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs
by: Lee, Jin, et al.
Published: (2026)

Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers
by: Maurya, Avinash, et al.
Published: (2024)

ReCoVer: Resilient LLM Pre-Training System via Fault-Tolerant Collective and Versatile Workload
by: Liu, Ziyue, et al.
Published: (2026)

FFCz: Fast Fourier Correction for Spectrum-Preserving Lossy Compression of Scientific Data
by: Ren, Congrong, et al.
Published: (2026)

To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O
by: Wilkins, Grant, et al.
Published: (2024)

Hamster: A Fast Synchronous Byzantine Fault Tolerance Protocol
by: Fu, Ximing, et al.
Published: (2024)

HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data
by: Agarwal, Tripti, et al.
Published: (2024)

Exploring Fast Fourier Transforms on the Tenstorrent Wormhole
by: Brown, Nick, et al.
Published: (2025)

Preserving Clusters in Error-Bounded Lossy Compression of Particle Data
by: Ren, Congrong, et al.
Published: (2026)

DataStates-LLM: Scalable Checkpointing for Transformer Models Using Composable State Providers
by: Maurya, Avinash, et al.
Published: (2026)

Beyond Optimal Fault Tolerance
by: Lewis-Pye, Andrew, et al.
Published: (2025)

Heat: Satellite's meat is GPU's poison
by: Yuan, Zhehu, et al.
Published: (2024)

Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation
by: Jiao, Pu, et al.
Published: (2026)

TopoSZp: Lightweight Topology-Aware Error-controlled Compression for Scientific Data
by: Agarwal, Tripti, et al.
Published: (2026)

Towards a Scalable In Situ Fast Fourier Transform
by: Kulkarni, Sudhanshu, et al.
Published: (2024)

QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression
by: Liu, Jinyang, et al.
Published: (2024)

Byzantine Fault Tolerant Causal Ordering
by: Misra, Anshuman, et al.
Published: (2021)

FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
by: Wilkins, Grant, et al.
Published: (2023)

Byzantine Fault-Tolerant Min-Max Optimization
by: Liu, Shuo, et al.
Published: (2022)

Approximate Byzantine Fault-Tolerance in Distributed Optimization
by: Liu, Shuo, et al.
Published: (2021)

Optimal Fault-Tolerant Dispersion on Oriented Grids
by: Banerjee, Rik, et al.
Published: (2024)

Probabilistic Byzantine Fault Tolerance (Extended Version)
by: Avelãs, Diogo, et al.
Published: (2024)

DaggerFFT: A Distributed FFT Framework Using Task Scheduling in Julia
by: Anvari, Sana Taghipour, et al.
Published: (2026)

Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory
by: Georgiou, Chryssis, et al.
Published: (2025)

Characterization-Guided GPU Fault Resilience in NVIDIA MPS
by: Liu, Rixin, et al.
Published: (2026)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets
by: Di, Sheng, et al.
Published: (2024)

Optimizing Robot Dispersion on Grids: with and without Fault Tolerance
by: Banerjee, Rik, et al.
Published: (2024)