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检索条件"主题词=Algorithm-based fault tolerance"

共 79 条记录，以下是71-80 订阅

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Failure Mitigation in Linear, Sesquilinear and Bijective Operations On Integer Data Streams Via Numerical Entanglement 21

Failure Mitigation in Linear, Sesquilinear and Bijective Ope...

引用

21st IEEE International On-Line Testing Symposium (IOLTS)

作者： Anam, Mohammad Ashraful Andreopoulos, Yiannis UCL Dept Elect & Elect Engn Roberts BldgTorrington Pl London WC1E 7JE England

ISBN: (纸本)9781467379052

A new roll-forward technique is proposed that recovers from any single fail-stop failure in M integer data streams (M >= 3) when undergoing linear, sesquilinear or bijective (LSB) operations, such as: scaling, additions/subtractions, inner or outer vector products and permutations. In the proposed approach, the M input integer data streams are linearly superimposed to form M numerically entangled integer data streams that are stored in-place of the original inputs. A series of LSB operations can then be performed directly using these entangled data streams. The output results can be extracted from any M - 1 entangled output streams by additions and arithmetic shifts, thereby guaranteeing robustness to a fail-stop failure in any single stream computation. Importantly, unlike other methods, the number of operations required for the entanglement, extraction and recovery of the results is linearly related to the number of the inputs and does not depend on the complexity of the performed LSB operations. We have validated our proposal in an Intel processor (Haswell architecture with AVX2 support) via convolution operations. Our analysis and experiments reveal that the proposed approach incurs only 1.8% to 2.8% reduction in processing throughput in comparison to the failure-intolerant approach. This overhead is 9 to 14 times smaller than that of the equivalent checksum-based method. Thus, our proposal can be used in distributed systems and unreliable processor hardware, or safety-critical applications, where robustness against fail-stop failures becomes a necessity.

关键词： linear operations sum-of-products algorithm-based fault tolerance fail-stop failure numerical entanglement

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Compiler-assisted generation of error-detecting parallel programs

Compiler-assisted generation of error-detecting parallel pro...

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26th International Symposium on fault-Tolerant Computing

作者： RoyChowdhury, A Banerjee, P IBM CORP THOMAS J WATSON RES CTRYORKTOWN HTSNY 10598

ISBN: (纸本)0818672617

We have developed an automated, compile time approach to generating error-detecting parallel programs. The compiler is used to identify statements implementing affine transformations within the program and automatically insert code for computing, manipulating, and comparing checksums in order to detect data errors at runtime. Statements which do not implement affine transformations are checked by duplication. Checksums are reused from one loop to the next if this is possible, rather than recomputing checksums for every statement. A global dataflow analysis is performed in order to determine points at which checksums need to be recomputed. We also use a novel method of specifying the data distributions of the check data using data distribution directives so that the computations on the original data and the corresponding check computations are performed on different processors. Results on the time overhead and error coverage of the error detecting parallel programs over the original programs are presented on an Intel Paragon distributed memory multicomputer.

关键词： algorithm-based fault tolerance checksum encoding paralleling compilers compiler assisted fault tolerance

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Reducing Overheads for fault-tolerant Datapaths with Dynamic Partial Reconfiguration 22

Reducing Overheads for Fault-tolerant Datapaths with Dynamic...

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22nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines ((FCCM)

作者： Davis, James J. Cheung, Peter Y. K. Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England

ISBN: (纸本)9781479951116

As process scaling and transistor count inflation continue, silicon chips are becoming increasingly susceptible to faults. Although FPGAs are particularly vulnerable to these effects, their runtime reconfigurability offers unique opportunities for fault tolerance. This work presents an application combining algorithmic-level error detection with dynamic partial reconfiguration (DPR) to allow faults manifested within its datapath at runtime to be circumvented at low cost.

关键词： Circuit faults fault tolerance fault tolerant systems Field programmable gate arrays Hardware Heuristic algorithms Runtime algorithm-based fault tolerance dynamic partial reconfiguration error recovery fault-tolerant hardware accelerators matrix multiplication fault tolerance Field programmable gate arrays Runtime fault tolerant systems Circuit faults system recovery Matrix multiplication Heuristic algorithms Computer hardware dynamic reconfiguration Reconfiguration

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Quality Aware Error Detection in 2-D Separable Linear Transformation 25

Quality Aware Error Detection in 2-D Separable Linear Transf...

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25th IEEE Asian Test Symposium (ATS)

作者： Hu, Shih-Hsin Abraham, Jacob A. Univ Texas Austin Comp Engn Res Ctr Austin TX 78712 USA Qualcomm Technol Inc San Diego CA 92121 USA

ISBN: (纸本)9781509038091

In this paper, we propose a generic weighted check-sum code based quality aware error detection scheme for 2D separable linear transformation. These key components are widely used in multimedia compression systems, e.g., video and image codecs. The technique encodes the input array at the 2D linear transformation level, and algorithms are designed to operate on encoded data and produce encoded output data. The proposed error detection technique is a system-level method therefore can be used in existing hardware or software 2-D linear transformation architectures with low overhead. More importantly, the proposed weighted checksum code based error detection can enable quality metric aware error detection which only flags an error when the quality of the result is lower than expectation. The error tolerance detection technique can fit perfectly in multimedia compression systems.

关键词： algorithm-based fault tolerance linear transform discrete cosine transform discrete wavelet transform

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FT-BLAS: A High Performance BLAS Implementation With Online fault tolerance 21

FT-BLAS: A High Performance BLAS Implementation With Online ...

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35th ACM International Conference on Supercomputing (ICS)

作者： Zhai, Yujia Giem, Elisabeth Fan, Quan Zhao, Kai Liu, Jinyang Chen, Zizhong Univ Calif Riverside Riverside CA 92521 USA

ISBN: (纸本)9781450383356

Basic Linear Algebra Subprograms (BLAS) is a core library in scientific computing and machine learning. This paper presents FT-BLAS, a new implementation of BLAS routines that not only tolerates soft errors on the fly, but also provides comparable performance to modern state-of-the-art BLAS libraries on widely-used processors such as Intel Skylake and Cascade Lake. To accommodate the features of BLAS, which contains both memory-bound and computing-bound routines, we propose a hybrid strategy to incorporate fault tolerance into our brand-new BLAS implementation: duplicating computing instructions for memory-bound Level-1 and Level-2 BLAS routines and incorporating an algorithm-based fault tolerance mechanism for computing-bound Level-3 BLAS routines. Our high performance and low overhead are obtained from delicate assembly-level optimization and a kernel-fusion approach to the computing kernels. Experimental results demonstrate that FT-BLAS offers high reliability and high performance - faster than Intel MKL, OpenBLAS, and BLIS by up to 3.50%, 22.14% and 21.70%, respectively, for routines spanning all three levels of BLAS we benchmarked, even under hundreds of errors injected per minute.

关键词： BLAS SIMD Assembly Optimization Dual Modular Redundancy algorithm-based fault tolerance AVX-512

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Application fault tolerance for Shrinking Resources via the Sparse Grid Combination Technique 30

Application Fault Tolerance for Shrinking Resources via the ...

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30th IEEE International Parallel and Distributed Processing Symposium (IPDPS)

作者： Strazdins, Peter E. Ali, Md Mohsin Debusschere, Bert Australian Natl Univ Res Sch Comp Sci Canberra ACT 0200 Australia Sandia Natl Labs Combust Res Facil Livermore CA USA

ISBN: (纸本)9781509036820

The need to make large-scale scientific simulations resilient to the shrinking and growing of compute resources arises from exascale computing and adverse operating conditions (fault tolerance). It can also arise from the cloud computing context where the cost of these resources can fluctuate. In this paper, we describe how the Sparse Grid Combination Technique can make such applications resilient to shrinking compute resources. The solution of the non-trivial issues of dealing with data redistribution and on-the-fly malleability of process grid information and ULFM MPI communicators are described. Results on a 2D advection solver indicate that process recovery time is significantly reduced from the alternate strategy where failed resources are replaced, overall execution time is actually improved from this case and for checkpointing and the execution error remains small, even when multiple failures occur.

关键词： algorithm-based fault tolerance ULFM process failure recovery PDE solvers sparse grid combination technique parallel computing elasticity cloud computing

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fault Tolerant One-sided Matrix Decompositions on Heterogeneous Systems with GPUs

Fault Tolerant One-sided Matrix Decompositions on Heterogene...

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International Conference on High Performance Computing, Networking, Storage, and Analysis (SC)

作者： Chen, Jieyang Li, Hongbo Li, Sihuan Liang, Xin Wu, Panruo Tao, Dingwen Ouyang, Kaiming Liu, Yuanlai Zhao, Kai Guan, Qiang Chen, Zizhong Univ Calif Riverside Riverside CA 92521 USA Univ Houston Houston TX 77004 USA Univ Alabama Tuscaloosa AL 35487 USA Kent State Univ Kent OH 44242 USA

ISBN: (纸本)9781538683842

Current algorithm-based fault tolerance (ABFT) approach for one-sided matrix decomposition on heterogeneous systems with GPUs have following limitations: (1) they do not provide sufficient protection as most of them only maintain checksum in one dimension;(2) their checking scheme is not efficient due to redundant checksum verifications;(3) they fail to protect PCIe communication;and (4) the checksum calculation based on a special type of matrix multiplication is far from efficient. By overcoming the above limitations, we design an efficient ABFT approach providing stronger protection for one-sided matrix decomposition methods on heterogeneous systems. First, we provide full matrix protection by using checksums in two dimensions. Second, our checking scheme is more efficient by prioritizing the checksum verification according to the sensitivity of matrix operations to soft errors. Third, we protect PCIe communication by reordering checksum verifications and decomposition steps. Fourth, we accelerate the checksum calculation by 1.7x via better utilizing GPUs.

关键词： algorithm-based fault tolerance Linear algebra Matrix decomposition GPU Heterogeneous system

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FT-GEMM: A fault Tolerant High Performance GEMM Implementation on x86 CPUs 23

FT-GEMM: A Fault Tolerant High Performance GEMM Implementati...

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32nd International Symposium on High-Performance Parallel and Distributed Computing (HPDC) part of the ACM Federated Computing Research Conference (FCRC)

作者： Wu, Shixun Zhai, Yujia Huang, Jiajun Jian, Zizhe Chen, Zizhong Univ Calif Riverside Riverside CA 92521 USA

ISBN: (纸本)9798400701559

General matrix/matrix multiplication (GEMM) is crucial for scientific computing and machine learning. However, the increased scale of the computing platforms raises concerns about hardware and software reliability. In this poster, we present FT-GEMM, a high-performance GEMM being capable of tolerating soft errors on-the-fly. We incorporate the fault tolerant functionality at algorithmic level by fusing the memory-intensive operations into the GEMM assembly kernels. We design a cache-friendly scheme for parallel FT-GEMM. Experimental results on Intel Cascade Lake demonstrate that FT-GEMM offers high reliability and performance - faster than Intel MKL, OpenBLAS, and BLIS by 3.50%similar to 22.14% for both serial and parallel GEMM, even under hundreds of errors injected per minute.

关键词： simd algorithm-based fault tolerance assembly optimization avx-512 dual modular redundancy gemm

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Correcting Soft Errors Online in Fast Fourier Transform 17

Correcting Soft Errors Online in Fast Fourier Transform

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International Conference for High Performance Computing, Networking, Storage and Analysis (SC)

作者： Liang, Xin Chen, Jieyang Tao, Dingwen Li, Sihuan Wu, Panruo Li, Hongbo Ouyang, Kaiming Liu, Yuanlai Song, Fengguang Chen, Zizhong Univ Calif Riverside Riverside CA 92521 USA Indiana Univ Purdue Univ Indianapolis IN 46202 USA

ISBN: (数字)9781450351140

ISBN: (纸本)9781450351140

While many algorithm-based fault tolerance (ABFT) schemes have been proposed to detect soft errors offline in the fast Fourier transform (FFT) after computation finishes, none of the existing ABFT schemes detect soft errors online before the computation finishes. This paper presents an online ABFT scheme for FFT so that soft errors can be detected online and the corrupted computation can be terminated in a much more timely manner. We also extend our scheme to tolerate both arithmetic errors and memory errors, develop strategies to reduce its fault tolerance overhead and improve its numerical stability and fault coverage, and finally incorporate it into the widely used FFTW library- one of the today's fastest FFT software implementations. Experimental results demonstrate that: (1) the proposed online ABFT scheme introduces much lower overhead than the existing offline ABFT schemes;(2) it detects errors in a much more timely manner;and (3) it also has higher numerical stability and better fault coverage.

关键词： algorithm-based fault tolerance Soft Errors DFT FFT FFTW

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