JavaShuo
欄目
標籤
Pushing the Limits of Accelerator Efficiency While Retaining Programmability
時間 2021-01-07
標籤
programmability
accelerator
简体版
原文
原文鏈接
Pushing the Limits of Accelerator Efficiency While Retaining Programmability 摘要: DSAs(domain specific accelerators)爲了提高性能,犧牲了可編程性。DSAs由於適用領域得不穩定,很容易過時,而且會出現重複設計和重複驗證的成本。當一個設備需要多個DSA時,面積成本會很大。 論文探討了在可編
>>阅读原文<<
相關文章
1.
Pushing the Limits of Windows: Handles
2.
Pushing the Limits of Deep CNNs for Pedestrian Detection
3.
iO6 Programming pushing the limits 閱讀筆記
4.
Android Programming: Pushing the Limits -- Chapter 7:Android IPC -- ApiWrapper
5.
論文閱讀——Pushing the Limits of Translation Quality Estimation
6.
Pushing state-of-the-art in 3D content understanding
7.
7.4 Models -- Pushing Records into the Store
8.
Bitbucket Repository size limits
9.
On the Compactness,Efficiency,and Representation of 3D Convolutional Networks:Brain Parcellation as
10.
ReID via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing
更多相關文章...
•
Scala while 循環
-
Scala教程
•
XSLT
元素
-
XSLT 教程
•
爲了進字節跳動,我精選了29道Java經典算法題,帶詳細講解
•
JDK13 GA發佈:5大特性解讀
相關標籤/搜索
accelerator
pushing
efficiency
limits
for...of
for..of
mysql..the
while...do
the&nbs
mysql....the
Spring教程
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
「插件」Runner更新Pro版,幫助設計師遠離996
2.
錯誤 707 Could not load file or assembly ‘Newtonsoft.Json, Version=12.0.0.0, Culture=neutral, PublicKe
3.
Jenkins 2018 報告速覽,Kubernetes使用率躍升235%!
4.
TVI-Android技術篇之註解Annotation
5.
android studio啓動項目
6.
Android的ADIL
7.
Android卡頓的檢測及優化方法彙總(線下+線上)
8.
登錄註冊的業務邏輯流程梳理
9.
NDK(1)創建自己的C/C++文件
10.
小菜的系統框架界面設計-你的評估是我的決策
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Pushing the Limits of Windows: Handles
2.
Pushing the Limits of Deep CNNs for Pedestrian Detection
3.
iO6 Programming pushing the limits 閱讀筆記
4.
Android Programming: Pushing the Limits -- Chapter 7:Android IPC -- ApiWrapper
5.
論文閱讀——Pushing the Limits of Translation Quality Estimation
6.
Pushing state-of-the-art in 3D content understanding
7.
7.4 Models -- Pushing Records into the Store
8.
Bitbucket Repository size limits
9.
On the Compactness,Efficiency,and Representation of 3D Convolutional Networks:Brain Parcellation as
10.
ReID via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing
>>更多相關文章<<