Cyclops tensor framework
Webtensors. 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, WebMay 1, 2013 · Cyclops (cyclic-operations) Tensor Framework (CTF) 1 is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as those required in the...
Cyclops tensor framework
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WebSparse_Tensor a sparse subset of a tensor More... class Tensor an instance of a tensor within a CTF world More... class TensorOperation A tensor operation, containing all the data (op, lhs, rhs) required to run it. Also provides methods to get a list of inputs and outputs, as well as successor and dependency information used in scheduling. More... WebAbstract—Cyclops (cyclic-operations) Tensor Framework (CTF) 1 is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as …
WebApr 14, 2024 · Across a wide range of different tensor transpositions and architectures (e.g., Intel Ivy Bridge, Intel Knights Landing, ARMv7, IBM Power7), HPTT attains a bandwidth comparable to that of SAXPY, and yields remarkable speedups over Eigen's tensor transposition implementation. WebEdgar Solomonik Cyclops Tensor Framework 2/ 73 Introduction Communication-avoiding linear algebra Communication-avoiding tensor computations Conclusion Algorithmic roots: communication avoidance Targeting leadership class platforms (e.g. BG/Q) ILarge amount of distributed memory parallelism IHierarchical parallelism
WebCyclops (cyclic-operations) Tensor Framework(CTF) is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as those required in the Coupled Cluster (CC) electronic structure method to massively-parallel supercomputers. The framework preserves tensor structure by subdividing tensors … Web9/29 Edgar Solomonik Cyclops Tensor Framework 9/ 29. De ne a tensor Consider a rank four tensor T (in CC this is the 2-electron T 2 amplitude) Tab ij where T is m m n n antisymmetric in ab and in ij CTF Tensor T(4,fm,m,n,ng,fAS,NS,AS,NSg,dw) an ’AS’ dimension is antisymmetric with the next
WebA stand-alone library for petascale tensor computations Cyclops Tensor Framework (CTF) distributed-memory symmetric/sparse tensors as C++ objects
WebCyclops Tensor Framework: CTF::Tensor< dtype > Class Template Reference Public Member Functions CTF::Tensor< dtype > Class Template Reference CTF Tensor an … ray blackburn\\u0027s national automotiveWebusing 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. ray blackburn auto repairWeb10/24 Edgar Solomonik Cyclops Tensor Framework 10/ 24. Mapping a distributed array How does CTF do it? Physical network topology Assume the network is a torus (mesh), which is a tensor of processors e.g. BG/P network is 3D … simple pyne mens leather sandalsWebCyclops Tensor Framework (CTF) approach to contractions A high-level description of CTF’s algorithm for tensor contractions: packed tensors are decomposed cyclically … simple push stick for table saw templateWebCyclops (cyclic-operations) Tensor Framework (CTF) is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as those … ray blackburn\\u0027s auto serviceWebAbstract: Cyclops (cyclic-operations) Tensor Framework (CTF) 1 is a distributed library for tensor contractions. CTF aims to scale high-dimensional tensor contractions such as … simple puzzles for freshersWebAug 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. simple pyrography patterns free