Cyclops tensor framework
WebCyclops Tensor Framework: parallel arithmetic on multidimensional arrays. C++ 160 46 36 4 Updated on Nov 29, 2024. Tensor_completion Public. Research @ Laboratory for Parallel Numerical Algorithms. Python 0 5 0 0 Updated on Aug 11, 2024. koala Public. A quantum system simulator using PEPS tensor network.
Cyclops tensor framework
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Webusing the Cyclops Tensor Framework [14], allowing for a massively parallel code that has been observed to reach up to 3 TFlops/s on state of the art problems. We focus on finite 2D lattice models, which traditionally have an easily constructed Hamiltonian but require significant computational time to converge. WebNov 13, 2016 · This paper presents the optimized design and implementation of sparse tensor-times-dense matrix multiply (SpTTM) for CPU and GPU platforms. This primitive is a ... Our sequential SpTTM is up to 3.5× faster than the SpTTM from Tensor Toolbox and 1.5× over that from Cyclops Tensor Framework. Our parallel algorithms show 4.1× …
WebCyclops (cyclic-operations) Tensor Framework(CTF) is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as those … WebCyclops Tensor Framework: CTF::Tensor< dtype > Class Template Reference Public Member Functions CTF::Tensor< dtype > Class Template Reference CTF Tensor an …
Webfrom publication: A preliminary analysis of Cyclops Tensor Framework Cyclops (cyclic-operations) Tensor Framework (CTF) 1 is a distributed library for tensor contractions. CTF aims to scale high ... WebCyclops (cyclic-operations) Tensor Framework (CTF) provides primitives for distributed memory tensor contractions takes advantage of thread (two-level) parallelism
WebAug 4, 2024 · The use of tensor contractions enables us to employ the Cyclops library for distributed-memory tensor computations to parallelize the Gauss--Newton approach with a high-level Python implementation. In addition, we propose a regularization scheme for the Gauss--Newton method to improve convergence properties without any additional cost.
WebThe running time of an algorithm depends on both arithmetic and communication (i.e., data movement) costs, and the relative costs of communication are growing over time. In this work, we present both theoretical and practical results for tridiagonalizing a symmetric band matrix: we present an algorithm that asymptotically reduces communication, and we … shanghai kaviation technology co. ltdWebCyclops (cyclic-operations) Tensor Framework (CTF) is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as those … shanghai katch logistics co. ltdWebDec 1, 2014 · This paper focuses on the fundamental kernels of coupled-cluster calculations–tensor contractions–and documents a completely new set of parallel algorithms implemented as a distributed-memory tensor contraction framework, Cyclops Tensor Framework (CTF). 1 CTF has enabled coupled-cluster with excitations of up to … shanghai kaviation technology companyWebfor the Cyclops Tensor Framework design. NWChem uses the Tensor Contraction Engine (TCE) [20, 6, 16], to automatically generate sequences of tensor contractions based on a diagrammatic representation of CC schemes. TCE attempts to form the most efficient sequence of contractions while minimizing memory usage of intermediates (computed … shanghai kechow pharmaWebAbstract: Cyclops (cyclic-operations) Tensor Framework (CTF) 1 is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as … shanghai kelly gaelic stormWebCTF is tuned formassively-parallelarchitectures multidimensional tensor blocking and processor grids cyclicassignment of elements to processors is well-suited for symmetric … shanghai key laboratory of fundus diseaseWebtensors. The Tensor Contraction Engine (TCE) project [6] focuses on sequences of tensor contractions and uses compiler techniques to reduce workspace and operation counts. The very recent Cyclops Tensor Framework (CTF) [23] focuses on exploit-ing symmetry in storage for distributed memory parallel computation with tensors, shanghai key laboratory of pmmp