Search Results - "Mathematics of computing Mathematical analysis Numerical analysis Computations on matrices"
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Trapezoid: A Versatile Accelerator for Dense and Sparse Matrix Multiplications
Published: IEEE 29.06.2024Published in 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) (29.06.2024)“…Accelerating matrix multiplication is crucial to achieve high performance in many application domains, including neural networks, graph analytics, and…”
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Numerically-Stable and Highly-Scalable Parallel LU Factorization for Circuit Simulation
ISSN: 1558-2434Published: ACM 29.10.2022Published in 2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) (29.10.2022)“…A number of sparse linear systems are solved by sparse LU factorization in a circuit simulation process. The coefficient matrices of these linear systems have…”
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Me-MPK: Accelerating Krylov Subspace Solvers via Memory-efficient Matrix-Power Kernel
Published: IEEE 22.06.2025Published in 2025 62nd ACM/IEEE Design Automation Conference (DAC) (22.06.2025)“…This paper focuses on optimizing the Matrix-Power Kernel (MPK), which relies on a series of Sparse Matrix-Vector multiplications (SpMVs) using the same sparse…”
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An Input-Aware Sparse Tensor Compiler Empowered by Vectorized Acceleration
Published: IEEE 22.06.2025Published in 2025 62nd ACM/IEEE Design Automation Conference (DAC) (22.06.2025)“…Sparsity is widely prevalent in real-world applications, yet existing compiler optimizations and code generation techniques for sparse computations remain…”
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InnerSP: A Memory Efficient Sparse Matrix Multiplication Accelerator with Locality-Aware Inner Product Processing
Published: IEEE 01.09.2021Published in 2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT) (01.09.2021)“…Sparse matrix multiplication is one of the key computational kernels in large-scale data analytics. However, a naive implementation suffers from the overheads…”
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Tackling the Matrix Multiplication Micro-Kernel Generation with Exo
ISSN: 2643-2838Published: IEEE 02.03.2024Published in Proceedings / International Symposium on Code Generation and Optimization (02.03.2024)“…The optimization of the matrix multiplication (or GEMM) has been a need during the last decades. This operation is considered the flagship of current linear…”
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SSpMV: A Sparsity-aware SpMV Framework Empowered by Multimodal Machine Learning
Published: IEEE 22.06.2025Published in 2025 62nd ACM/IEEE Design Automation Conference (DAC) (22.06.2025)“…Sparse Matrix-Vector Multiplication (SpMV) is an essential sparse operation in scientific computing and artificial intelligence. Efficiently adapting SpMV…”
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ReSMiPS: A ReRAM-based Sparse Mixed-precision Solver with Fast Matrix Reordering Algorithm
Published: IEEE 22.06.2025Published in 2025 62nd ACM/IEEE Design Automation Conference (DAC) (22.06.2025)“…The solution of sparse matrix equations is essential in scientific computing. However, traditional solvers on digital computing platforms are limited by memory…”
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Pipirima: Predicting Patterns in Sparsity to Accelerate Matrix Algebra
Published: IEEE 22.06.2025Published in 2025 62nd ACM/IEEE Design Automation Conference (DAC) (22.06.2025)“…While sparsity, a feature of data in many applications, provides optimization opportunities such as reducing unnecessary computations, data transfers, and…”
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FSPA: An FeFET-based Sparse Matrix-Dense Vector Multiplication Accelerator
Published: IEEE 09.07.2023Published in 2023 60th ACM/IEEE Design Automation Conference (DAC) (09.07.2023)“…Sparse matrix-dense vector multiplication (SpMV) is widely used in various applications. The performance of traditional SpMV accelerators is bounded by memory…”
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11
JITSPMM: Just-in-Time Instruction Generation for Accelerated Sparse Matrix-Matrix Multiplication
ISSN: 2643-2838Published: IEEE 02.03.2024Published in Proceedings / International Symposium on Code Generation and Optimization (02.03.2024)“…Achieving high performance for Sparse Matrix-Matrix Multiplication (SpMM) has received increasing research attention, especially on multi-core CPUs, due to the…”
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pSyncPIM: Partially Synchronous Execution of Sparse Matrix Operations for All-Bank PIM Architectures
Published: IEEE 29.06.2024Published in 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) (29.06.2024)“…Recent commercial incarnations of processing-in-memory (PIM) maintain the standard DRAM interface and employ the all-bank mode execution to maximize bank-level…”
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13
SpV8: Pursuing Optimal Vectorization and Regular Computation Pattern in SpMV
Published: IEEE 05.12.2021Published in 2021 58th ACM/IEEE Design Automation Conference (DAC) (05.12.2021)“…Sparse Matrix-Vector Multiplication (SpMV) plays an important role in many scientific and industry applications, and remains a well-known challenge due to the…”
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14
Accurate Reliability Evaluation and Enhancement via Probabilistic Transfer Matrices
ISBN: 9780769522883, 0769522882ISSN: 1530-1591Published: Washington, DC, USA IEEE Computer Society 07.03.2005Published in Design, Automation and Test in Europe (07.03.2005)“…Soft errors are an increasingly serious problem for logic circuits. To estimate the effects of soft errors on such circuits, we develop a general computational…”
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15
Red-Blue Pebbling Revisited: Near Optimal Parallel Matrix-Matrix Multiplication
ISSN: 2167-4337Published: ACM 17.11.2019Published in SC19: International Conference for High Performance Computing, Networking, Storage and Analysis (17.11.2019)“…We propose COSMA: a parallel matrix-matrix multiplication algorithm that is near communication-optimal for all combinations of matrix dimensions, processor…”
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16
SLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library
ISSN: 2167-4337Published: ACM 17.11.2019Published in SC19: International Conference for High Performance Computing, Networking, Storage and Analysis (17.11.2019)“…The SLATE (Software for Linear Algebra Targeting Exascale) library is being developed to provide fundamental dense linear algebra capabilities for current and…”
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17
A Methodology for Characterizing Sparse Datasets and Its Application to SIMD Performance Prediction
ISSN: 2641-7936Published: IEEE 01.09.2019Published in Proceedings / International Conference on Parallel Architectures and Compilation Techniques (01.09.2019)“…Irregular computations are commonly seen in many scientific and engineering domains that use unstructured meshes or sparse matrices. The performance of an…”
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18
A tensor-based volterra series black-box nonlinear system identification and simulation framework
ISSN: 1558-2434Published: ACM 01.11.2016Published in Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design (01.11.2016)“…Tensors are a multi-linear generalization of matrices to their d-way counterparts, and are receiving intense interest recently due to their natural…”
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Solvability of Matrix-Exponential Equations
ISBN: 9781450343916, 1450343910Published: New York, NY, USA ACM 05.07.2016Published in Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science (05.07.2016)“…We consider a continuous analogue of (Babai et al. 1996)'s and (Cai et al. 2000)'s problem of solving multiplicative matrix equations. Given k + 1 square…”
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20
Steady-state dynamic temperature analysis and reliability optimization for embedded multiprocessor systems
ISBN: 1450311997, 9781450311991ISSN: 0738-100XPublished: New York, NY, USA ACM 03.06.2012Published in DAC Design Automation Conference 2012 (03.06.2012)“…In this paper we propose an analytical technique for the steady-state dynamic temperature analysis (SSDTA) of multiprocessor systems with periodic…”
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