Results 11 to 20 of about 353 (180)
The common occurrence of flat-lying glacial rafts or megablocks throughout glaciated plains was not appreciated until fairly recently (Stalker 1976; Sauer 1978; Ruszczynska-Szenajch 1987). These megablocks are more-or-less horizontal, slightly deformed, and are often buried under or within thick drift giving little or no morphologic clue to their ...
James S Aber +2 more
exaly +3 more sources
Gravitational sliding of the carbonate megablocks in the Vipava Valley, SW Slovenia
The area of Lokavec in the Vipava Valley, SW Slovenia, consists of Mesozoic carbonates thrust over Paleogene siliciclastic flysch. Overthrusting and tectonic damage of carbonates accelerated their mechanical disintegration.
Maja Kocjančič +2 more
doaj +3 more sources
Special features of seismogenic zone of the Ingul and MiddleDnieper megablocks of the Ukrainian Shield have been analyzed. Several seismogenic zones with small areas have been subdivided within its limits, which differ by degree of contrast of ...
O.A. Tripolsky +3 more
doaj +3 more sources
Seismic reflection and topography insights into Ries crater diameter and megablock zone
Abstract Most of the extensive crater‐wide geophysical studies at the Ries impact structure were made decades ago when the origin of the structure was still being debated. Although it is one of the most studied impact structures, its internal structure was not imaged in high resolution until recently.
Kaidi Karro +5 more
openaire +2 more sources
Urban dynamic : extending China, the minor infrastructures of megablock
Nowadays in China, the expansion of city based on selling a large patch of lands to private developers and let them create both housing and mixed use lands.
Chan, Ho-yin, 陳昊彥
core +3 more sources
stanford-futuredata/megablocks: v0.3.2
What's Changed <ul> <li>Support for bfloat16</li> <li>Optimizations for top_k > 1</li> <li>Support for fully-sharded data parallelism</li> <li>Support tensor model parallelism when ...
Deepak Narayanan +6 more
core +3 more sources
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts
We present MegaBlocks, a system for efficient Mixture-of-Experts (MoE) training on GPUs. Our system is motivated by the limitations of current frameworks, which restrict the dynamic routing in MoE layers to satisfy the constraints of existing software and hardware.
Trevor Gale +3 more
openaire +3 more sources

