nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
AceMesh: a structured data driven programming language for high performance computing
|
Chen, Li |
|
|
|
4 |
p. 309-322 |
artikel |
2 |
An automatic mapping technique for OpenACC kernel code based on deeply fused and heterogeneous many-core architecture
|
Zhang, Libo |
|
|
|
4 |
p. 323-331 |
artikel |
3 |
An efficient segmented quantization for graph neural networks
|
Dai, Yue |
|
|
|
4 |
p. 461-473 |
artikel |
4 |
A performance evaluation method of queuing theory based on Cosmos cross-chain platform
|
Wu, Ou |
|
|
|
4 |
p. 465-485 |
artikel |
5 |
A performance study of optane persistent memory: from storage data structures' perspective
|
Islam, Abdullah Al Raqibul |
|
|
|
4 |
p. 370-393 |
artikel |
6 |
Applications and challenges of high performance computing in genomics
|
Jiang, Meiye |
|
|
|
4 |
p. 344-352 |
artikel |
7 |
A survey on optimizations towards best-effort hardware transactional memory
|
Wu, Zhenwei |
|
|
|
4 |
p. 401-414 |
artikel |
8 |
Computing infrastructure construction and optimization for high-performance computing and artificial intelligence
|
Su, Yun |
|
|
|
4 |
p. 331-343 |
artikel |
9 |
Correction to: VPC: Pruning connected components using vector-based path compression for Graph500
|
Bai, Hao |
|
|
|
4 |
p. 427 |
artikel |
10 |
Distributed deep learning system for cancerous region detection on Sunway TaihuLight
|
Lv, GuoFeng |
|
|
|
4 |
p. 348-361 |
artikel |
11 |
Editorial for the special issue on memory architectures and systems for modern applications
|
Sun, Guangyu |
|
|
|
4 |
p. 367-369 |
artikel |
12 |
Editorial for the special issue on operating systems and programming systems for HPC
|
Feng, Xiaobing |
|
|
|
4 |
p. 307-308 |
artikel |
13 |
Effective runtime scheduling for high-performance graph processing on heterogeneous dataflow architecture
|
Chen, Qingxiang |
|
|
|
4 |
p. 362-375 |
artikel |
14 |
EHSTM: a formal model of embedded software and research on several key issues
|
Masahiko, Watanabe |
|
|
|
4 |
p. 365-382 |
artikel |
15 |
Energy-aware task scheduling optimization with deep reinforcement learning for large-scale heterogeneous systems
|
Li, Jingbo |
|
|
|
4 |
p. 383-392 |
artikel |
16 |
ExaLB: a mathematical framework for load balancing to support distributed exascale computing environments
|
Mollasalehi, Faezeh |
|
|
|
4 |
p. 390-415 |
artikel |
17 |
ExaSU: a mathematical model for selecting the structured or unstructured resource discovery mechanism in distributed exascale computing environments
|
Fakhri, Pouria |
|
|
|
4 |
p. 416-428 |
artikel |
18 |
General past-time linear temporal logic specification mining
|
Shi, Jianqi |
|
|
|
4 |
p. 393-406 |
artikel |
19 |
GEO-WMS: an improved approach to geoscientific workflow management system on HPC
|
Guo, Jiaxu |
|
|
|
4 |
p. 360-373 |
artikel |
20 |
Large scale simulation of pressure induced phase-field fracture propagation using Utopia
|
Zulian, Patrick |
|
|
|
4 |
p. 407-426 |
artikel |
21 |
Leveraging simulation of high performance computing systems with node simulation using architecture simulator
|
Lin, Fang |
|
|
|
4 |
p. 442-464 |
artikel |
22 |
Lotus: a memory organization for loose and tight coupling neurons in neuromorphic architecture
|
Yang, Zhijie |
|
|
|
4 |
p. 448-460 |
artikel |
23 |
Memory management technology based on homegrown multicore processor
|
Zheng, Yan |
|
|
|
4 |
p. 376-381 |
artikel |
24 |
MP-DPS: adaptive distributed training for deep learning based on node merging and path prediction
|
Zeng, Yan |
|
|
|
4 |
p. 429-441 |
artikel |
25 |
MPEFT: a makespan minimizing heuristic scheduling algorithm for workflows in heterogeneous computing systems
|
Sirisha, D. |
|
|
|
4 |
p. 374-389 |
artikel |
26 |
Parallel programming models for heterogeneous many-cores: a comprehensive survey
|
Fang, Jianbin |
|
|
|
4 |
p. 382-400 |
artikel |
27 |
Practical optimizations for lightweight distributed file system on consumer devices
|
Xu, Yuze |
|
|
|
4 |
p. 474-491 |
artikel |
28 |
Publisher Correction: Smart scheduler: an adaptive NVM-aware thread scheduling approach on NUMA systems
|
Chen, Yuetao |
|
|
|
4 |
p. 492 |
artikel |
29 |
SAR study on inhibitors of Hsp90α using machine learning methods
|
Zhang, Zhongyuan |
|
|
|
4 |
p. 353-364 |
artikel |
30 |
Smart scheduler: an adaptive NVM-aware thread scheduling approach on NUMA systems
|
Chen, Yuetao |
|
|
|
4 |
p. 394-406 |
artikel |
31 |
SpinCIM: spin orbit torque memory for ternary neural networks based on the computing-in-memory architecture
|
Luo, Lichuan |
|
|
|
4 |
p. 421-434 |
artikel |
32 |
Survey and design of paleozoic: a high-performance compiler tool chain for deep learning inference accelerator
|
Liu, Zihan |
|
|
|
4 |
p. 332-347 |
artikel |
33 |
Survey on storage-accelerator data movement
|
Zhou, Zixuan |
|
|
|
4 |
p. 435-447 |
artikel |
34 |
The GRAPES evaluation tools based on Python (GetPy)
|
Zhao, Bin |
|
|
|
4 |
p. 347-359 |
artikel |
35 |
VCCIM: a voltage coupling based computing-in-memory architecture in 28 nm for edge AI applications
|
Guo, An |
|
|
|
4 |
p. 407-420 |
artikel |