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ORCIDAleksandar Zlateski
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2020 – today
- 2024
[i11]George Mitenkov, Igor Kabiljo, Zekun Li, Alexander Spiegelman, Satyanarayana Vusirikala, Zhuolun Xiang, Aleksandar Zlateski, Nuno P. Lopes, Rati Gelashvili:
Deferred Objects to Enhance Smart Contract Programming with Optimistic Parallel Execution. CoRR abs/2405.06117 (2024)- 2023
- [i10]Dejan Grubisic, Bram Wasti, Chris Cummins, John M. Mellor-Crummey, Aleksandar Zlateski:
LoopTune: Optimizing Tensor Computations with Reinforcement Learning. CoRR abs/2309.01825 (2023) - 2022
- [i9]Bram Wasti, José Pablo Cambronero, Benoit Steiner, Hugh Leather, Aleksandar Zlateski:
LoopStack: a Lightweight Tensor Algebra Compiler Stack. CoRR abs/2205.00618 (2022) - 2021
- [i8]Ran Lu
, Aleksandar Zlateski, H. Sebastian Seung:
Large-scale image segmentation based on distributed clustering algorithms. CoRR abs/2106.10795 (2021)
2010 – 2019
- 2019
- [c9]Sergiy Popovych, Davit Buniatyan, Aleksandar Zlateski, Kai Li, H. Sebastian Seung:
PZnet: Efficient 3D ConvNet Inference on Manycore CPUs. CVC (1) 2019: 369-383 - [c8]Aleksandar Zlateski, Zhen Jia, Kai Li, Frédo Durand:
The anatomy of efficient FFT and winograd convolutions on modern CPUs. ICS 2019: 414-424 - [i7]Sergiy Popovych, Davit Buniatyan, Aleksandar Zlateski, Kai Li, H. Sebastian Seung:
PZnet: Efficient 3D ConvNet Inference on Manycore CPUs. CoRR abs/1903.07525 (2019) - [i6]Rati Gelashvili, Nir Shavit, Aleksandar Zlateski:
L3 Fusion: Fast Transformed Convolutions on CPUs. CoRR abs/1912.02165 (2019) - 2018
- [c7]Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma, Frédo Durand:
On the Importance of Label Quality for Semantic Segmentation. CVPR 2018: 1479-1487 - [c6]Zhen Jia, Aleksandar Zlateski, Frédo Durand, Kai Li:
Optimizing N-dimensional, winograd-based convolution for manycore CPUs. PPoPP 2018: 109-123 - [i5]Aleksandar Zlateski, Zhen Jia, Kai Li, Frédo Durand:
FFT Convolutions are Faster than Winograd on Modern CPUs, Here is Why. CoRR abs/1809.07851 (2018) - 2017
- [j1]Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung:
Scalable training of 3D convolutional networks on multi- and many-cores. J. Parallel Distributed Comput. 106: 195-204 (2017) - [c5]Aleksandar Zlateski, H. Sebastian Seung:
Compile-time optimized and statically scheduled N-D convnet primitives for multi-core and many-core (Xeon Phi) CPUs. ICS 2017: 8:1-8:10 - [c4]Alexander Matveev, Yaron Meirovitch, Hayk Saribekyan, Wiktor Jakubiuk, Tim Kaler, Gergely Ódor, David M. Budden, Aleksandar Zlateski, Nir Shavit:
A Multicore Path to Connectomics-on-Demand. PPoPP 2017: 267-281 - 2016
- [b1]Aleksandar Zlateski:
Scalable algorithms for semi-automatic segmentation of electron microscopy images of the brain tissue. Massachusetts Institute of Technology, Cambridge, USA, 2016 - [c3]Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung:
ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-core and Many-Core Shared Memory Machines. IPDPS 2016: 801-811 - [c2]Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung:
ZNNi: maximizing the inference throughput of 3D convolutional networks on CPUs and GPUs. SC 2016: 854-865 - [i4]Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung:
ZNNi - Maximizing the Inference Throughput of 3D Convolutional Networks on Multi-Core CPUs and GPUs. CoRR abs/1606.05688 (2016) - 2015
- [c1]Kisuk Lee, Aleksandar Zlateski, Ashwin Vishwanathan, H. Sebastian Seung:
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction. NIPS 2015: 3573-3581 - [i3]Aleksandar Zlateski, H. Sebastian Seung:
Image Segmentation by Size-Dependent Single Linkage Clustering of a Watershed Basin Graph. CoRR abs/1505.00249 (2015) - [i2]Kisuk Lee, Aleksandar Zlateski, Ashwin Vishwanathan, H. Sebastian Seung:
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection. CoRR abs/1508.04843 (2015) - [i1]Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung:
ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines. CoRR abs/1510.06706 (2015)
Coauthor Index
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last updated on 2024-07-25 20:24 CEST by the dblp team
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