ملخص
The Memory Allocation problem for neural networks can be represented as a two-dimensional optimization problem. The neural network is allocated into limited memory space while allocating as much data as possible into the low latency memory. Our solution is based on a generalization of graph coloring, edge-to-node transformation and considers the order in which the graph nodes are colored. We observed improvement of more than 40% in SRAM memory bandwidth in various neural networks.
| اللغة الأصلية | الإنجليزيّة |
|---|---|
| عنوان منشور المضيف | ICDCN 2022 - Proceedings of the 2022 International Conference on Distributed Computing and Networking |
| ناشر | Association for Computing Machinery |
| الصفحات | 232-233 |
| عدد الصفحات | 2 |
| رقم المعيار الدولي للكتب (الإلكتروني) | 9781450395601 |
| المعرِّفات الرقمية للأشياء | |
| حالة النشر | نُشِر - 4 يناير 2022 |
| الحدث | 23rd International Conference on Distributed Computing and Networking, ICDCN 2022 - Virtual, Online, الهند المدة: ٤ يناير ٢٠٢٢ → ٧ يناير ٢٠٢٢ |
سلسلة المنشورات
| الاسم | ACM International Conference Proceeding Series |
|---|
!!Conference
| !!Conference | 23rd International Conference on Distributed Computing and Networking, ICDCN 2022 |
|---|---|
| الدولة/الإقليم | الهند |
| المدينة | Virtual, Online |
| المدة | ٤/٠١/٢٢ → ٧/٠١/٢٢ |
ملاحظة ببليوغرافية
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