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indication id:indication

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Intel GVT-gã«ã¿ã‚‹Mediatedãƒ‘ã‚¹ã‚¹ãƒ«ãƒ¼ã‚’ç”¨ã„ãŸGPUä»®æƒ³åŒ– - ã‚‹ãã™ã®æ—¥è¨˜ ~ Out_Of_Range ~
ã“ã®è¨˜äº‹ã¯ ã‚·ã‚¹ãƒ†ãƒ ç³»è«–æ–‡ç´¹ä»‹ Advent Calendar 2015 - Adventar 17æ—¥ç›®ã®è¨˜äº‹ã§ã™ã€‚ USENIX'14 ATCã«ã¦intelã®Kun Tian, Yaozu Dong,David Cowperthwaiteã«ã‚ˆã£ã¦ç™ºè¡¨ã•ã‚Œã€XenGTã‚„KVMGTã¨ã—ã¦ã”ãæœ€è¿‘ã«å®Ÿè£…ã•ã‚ŒãŸæ–°ã—ã„ãŸGPUä»®æƒ³åŒ–æ–¹å¼ã€GVT-gã«ã¤ã„ã¦è¦‹ã¦ã„ãã€‚ A Full GPU Virtualization Solution with Mediated Pass-Through https://www.usenix.org/conference/atc14/technical-sessions/presentation/tian æ˜¨ä»Šã‚µãƒ¼ãƒãƒ¼,ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆã‚µã‚¤ãƒ‰å…±ã«ãƒã‚£ãƒ†ã‚£ãƒ–ãªé€Ÿåº¦ã®GPUä»®æƒ³åŒ–ãŒæ±‚ã‚ã‚‰ã‚Œã¦ãŠã‚Šã€GPUã«ç‰¹åŒ–ã—ãŸã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã‚„GPUãƒªã‚½ãƒ¼ã‚¹ã‚’ã‚µãƒ¼ãƒ“ã‚¹ã¨ã—ãŸã‚¯ãƒ©ã‚¦ãƒ‰æ¥è€…ã‚‚ã„
indication 2023/09/23
GPU

intel

gvt-g

ä»®æƒ³åŒ–
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GPUã¨SSDãŒPostgreSQLã‚’åŠ é€Ÿã™ã‚‹ï½žã‚¯ã‚¨ãƒªå‡¦ç†ã‚¹ãƒ«ãƒ¼ãƒ—ãƒƒãƒˆ10GB/sã¸ã®æŒ‘æˆ¦ï½ž [DB Tech Showcase Tokyo/2017]
2. HeteroDBç¤¾ã«ã¤ã„ã¦ â–Œä¼šç¤¾ãƒ—ãƒãƒ•ã‚£ãƒ¼ãƒ« ï° å•†å·ï¼š ãƒ˜ãƒ†ãƒï¼¤ï¼¢æ ªå¼ä¼šç¤¾ ï° æ‰€åœ¨åœ°ï¼š æ±äº¬éƒ½å“å·åŒºè¥¿å¤§äº•ï¼‘ãƒ¼ï¼‘ãƒ¼ï¼’ ï° è¨ç«‹ï¼š 2017å¹´7æœˆ4æ—¥(ç«) ï° äº‹æ¥å†…å®¹ï¼š GPU/SSDã«ã‚ˆã‚‹é«˜é€ŸSQLãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹è£½å“ã®é–‹ç™ºãƒ»è²©å£² GPUç‰ã®æ´»ç”¨ã‚’å«ã‚€SQLãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã‚µãƒ¼ãƒ“ã‚¹ ï° ä¸»è¦æ ªä¸»ï¼š è¨ç«‹ãƒ¡ãƒ³ãƒãƒ¼ã«ã‚ˆã‚‹100%ä¿æœ‰ â–Œè¨ç«‹ãƒ¡ãƒ³ãƒãƒ¼ æµ·å¤– æµ©å¹³ï¼ˆãƒãƒ¼ãƒ•ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒˆ å…¼ ä»£è¡¨å–ç· å½¹ç¤¾é•·ï¼‰ OSSé–‹ç™ºè€…ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã«ãŠã„ã¦ã€Linux kernelã‚„PostgreSQLãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®é–‹ç™ºã«10å¹´ä»¥ä¸Šå¾“äº‹ã€‚ PostgreSQLã®SELinuxå¯¾å¿œã‚„FDWæ©Ÿèƒ½æ‹¡å¼µãªã©ã‚³ã‚¢æ©Ÿèƒ½å¼·åŒ–ã«è²¢çŒ®ã—ã¦ãŠã‚Šã€PostgreSQLã®Major Contributor ã¨ã—ã¦çŸ¥ã‚‰ã‚Œã¦ã„ã‚‹ã€‚ 2012å¹´ã€ GPUã«ã‚ˆã‚‹PostgreSQLã®é«˜é€ŸåŒ–æ©Ÿæ§‹ã§ã‚ã‚‹PG-Stromã®é–‹ç™ºã«ç€æ‰‹ã€‚ä»¥é™ã€ãƒ˜ãƒ†
indication 2017/09/07
GPU

postgresql
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ã“ã“æš«ããƒ–ãƒã‚°ã§ã¾ã¨ã‚ã¦ã„ãªã‹ã£ãŸã€SSD-to-GPUãƒ€ã‚¤ãƒ¬ã‚¯ãƒˆSQLå®Ÿè¡Œæ©Ÿèƒ½ã®é€²æ—ã«ã¤ã„ã¦ã€‚ ã“ã®æ©Ÿèƒ½ã‚’ã‹ã„ã¤ã¾ã‚“ã§è¨€ã†ã¨ã€NVMe-SSDã«æ ¼ç´ã•ã‚Œã¦ã„ã‚‹PostgreSQLã®ãƒ‡ãƒ¼ã‚¿ãƒ–ãƒãƒƒã‚¯ã‚’GPU RAMã«ç›´æŽ¥è»¢é€ã—ã€ãã“ã§SQLã®WHEREå¥/JOIN/GROUP BYã‚’å®Ÿè¡Œã™ã‚‹ã“ã¨ã§è¦‹ã‹ã‘ä¸Šã®I/Oé‡ã‚’å‰Šæ¸›ã™ã‚‹ã¨ã„ã†ä»£ç‰©ã§ã‚ã‚‹ã€‚ NVIDIAã®Tesla/Quadro GPUãŒå¯¾å¿œã™ã‚‹GPUDirect RDMAæ©Ÿèƒ½ã‚’ä½¿ã„ã€SSD<=>GPUé–“ã®ãƒ‡ãƒ¼ã‚¿è»¢é€ã‚’ä»²ä»‹ã™ã‚‹Linux kernel moduleã‚’ä½¿ãˆã°ã€CPU/RAMã«ãƒ‡ãƒ¼ã‚¿ã‚’ãƒãƒ¼ãƒ‰ã™ã‚‹å‰ã«GPUä¸Šã§ã®å‡¦ç†ã‚’è¡Œã†ã“ã¨ãŒã§ãã‚‹ã€‚ ã—ã°ã‚‰ãå‰ã‹ã‚‰Scanç³»ã®å‡¦ç†ã«ã¯å¯¾å¿œã—ã¦ã„ãŸãŒã€JOIN/GROUP BYã¸ã®å¯¾å¿œã‚’åŠ ãˆã€ã•ã‚‰ã«PostgreSQL v9.6ã®CPUä¸¦åˆ—ã«ã‚‚è¿½å¾“ã—ãŸã¨ã„ã†ã“ã¨ã§ã€ç°¡å˜ãªãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ãªã‚‰å–ã‚Œã‚‹
indication 2017/04/24
GPU

postgresql
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scryptãŒGPUã«ç ´ã‚‰ã‚Œã‚‹æ™‚ | ã³ã‚Šã‚ã‚‹ã®ç ”ç©¶ãƒŽãƒ¼ãƒˆ
ä¸€èˆ¬çš„ã«ã‚ˆãçŸ¥ã‚‰ã‚Œã¦ã„ã‚‹ SHA-256 ã‚„ MD5 ãªã©ã®ãƒãƒƒã‚·ãƒ¥é–¢æ•°ã¯éžå¸¸ã«å˜ç´”ãªè¨è¨ˆã¨ãªã£ã¦ãŠã‚Šã€éžåŠ›ãªãƒ‘ã‚½ã‚³ãƒ³ã‚„çµ„ã¿è¾¼ã¿æ©Ÿå™¨ã€ã‚¹ãƒžãƒ•ã‚©ãªã©ã§ã‚‚é«˜é€Ÿã«è¨ˆç®—ã§ãã¾ã™ã€‚ ã—ã‹ã—ãªãŒã‚‰ãã®ä¸€æ–¹ã§ã€ãƒãƒƒã‚·ãƒ¥é–¢æ•°ã‚’æ‰‹å½“ãŸã‚Šæ¬¡ç¬¬ã«è¨ˆç®—ã—ã€ã‚‚ã¨ã®å…¥åŠ›å€¤ã‚’å¾©å…ƒã™ã‚‹ã„ã‚ã‚†ã‚‹ã€Œãƒ–ãƒ«ãƒ¼ãƒˆãƒ•ã‚©ãƒ¼ã‚¹æ”»æ’ƒã€ãŒå®¹æ˜“ã§ã‚ã‚‹ã¨ã„ã†ãƒ‡ãƒ¡ãƒªãƒƒãƒˆãŒã‚ã‚Šã¾ã™ã€‚ ç‰¹ã«ã“ã®ã‚ˆã†ãª SHA-256 ã‚„ MD5 ã¨ã„ã£ãŸãƒãƒƒã‚·ãƒ¥é–¢æ•°ã¯ã€GPU ã‚’ç”¨ã„ã‚‹ã‹ã€ã‚‚ã—ãã¯å°‚ç”¨ã®ãƒãƒ¼ãƒ‰ã‚¦ã‚§ã‚¢ (FPGA ã‚‚ã—ãã¯ ASIC) ã‚’è£½ä½œã™ã‚‹ã“ã¨ã§éžå¸¸ã«é«˜ã„åŠ¹çŽ‡ã§è¨ˆç®—ï¼ˆæ”»æ’ƒï¼‰ãŒã§ãã¦ã—ã¾ã†ã“ã¨ãŒçŸ¥ã‚‰ã‚Œã¦ã„ã¾ã™ã€‚ ãã®ãŸã‚ã€GPU ãªã„ã—å°‚ç”¨ãƒãƒ¼ãƒ‰ã‚¦ã‚§ã‚¢ã‚’ç”¨ã„ãŸã¨ã—ã¦ã‚‚ã€æ”»æ’ƒåŠ¹çŽ‡ã®æ”¹å–„ãŒé›£ã—ããªã‚‹ã‚ˆã†ãªæ–°ãŸãªãƒãƒƒã‚·ãƒ¥é–¢æ•°ãŒã„ãã¤ã‹ææ¡ˆã•ã‚Œã¦ã„ã¾ã™ã€‚ ãã®ä¸ã§æ¯”è¼ƒçš„å¤ã (2012å¹´ã”ã‚) ã«é–‹ç™ºã•ã‚Œã€ä»–ã®ãƒãƒƒã‚·ãƒ¥é–¢æ•°ã«ã‚‚å½±éŸ¿ã‚’ä¸Žãˆã¦ã„ã‚‹ã€Œscrypt
indication 2015/10/13
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GPU

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2014å¹´6æœˆã«é–‹å‚¬ã•ã‚ŒãŸSSII2014ï¼ˆhttp://www.ssii.jp/ï¼‰ã®ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«è¬›æ¼”ç”¨è³‡æ–™ã§ã™ï¼Ž ä½¿ç”¨ã—ãŸã‚³ãƒ¼ãƒ‰ç‰ã¯ã“ã¡ã‚‰ï¼Ž https://github.com/norishigefukushima/SSII2014 ã‚¢ãƒ–ã‚¹ãƒˆãƒ©ã‚¯ãƒˆ ã€ŒCPUã®ã‚¯ãƒãƒƒã‚¯æ•°ãŒå¹´æœˆã¨ã¨ã‚‚ã«å¢—åŠ ã™ã‚‹æ™‚ä»£ã¯çµ‚ã‚ã‚Šã€ãƒ—ãƒã‚°ãƒ©ãƒ ã®é«˜é€ŸåŒ–ã‚’CPUã®æ€§èƒ½å‘ä¸Šã«ä»»ã›ã‚‹ã“ã¨ã®ã§ãã‚‹ãƒ•ãƒªãƒ¼ãƒ©ãƒ³ãƒã®æ™‚ä»£ã¯çµ‚ã‚ã‚Šã‚’è¿Žãˆã¦ã„ã¾ã™ã€‚ã—ã‹ã—ãƒ ãƒ¼ã‚¢ã®æ³•å‰‡ã¯ã„ã¾ã ã«ç¶šã„ã¦ãŠã‚Šã€CPUã¯ãƒžãƒ«ãƒã‚³ã‚¢åŒ–ã€SIMDåŒ–ã¨ã„ã†å½¢ã§é«˜æ€§èƒ½åŒ–ãŒç¶šã„ã¦ã„ã¾ã™ã€‚æœ¬ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ã§ã¯ã€è¨ˆç®—ã‚³ã‚¹ãƒˆã®é«˜ã„ç”»åƒå‡¦ç†ã‚’é«˜é€ŸåŒ–ã™ã‚‹ãŸã‚ã«ã€CPUã®èƒ½åŠ›ã‚’ã‚ã¾ã™ã“ã¨ãªãå¼•ãå‡ºã™ã€ãƒžãƒ«ãƒã‚³ã‚¢ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã€SIMDãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã‚’è§£èª¬ã—ã¾ã™ã€‚ã€Read less
indication 2014/04/22
ç ”ç©¶ç´¹ä»‹ã«ã‚ã‚‹ã€æªã¿è£œæ£ã®æ—©ã•ãŒã™ã”ã„

cpu

GPU

è³‡æ–™
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indication 2014/04/04
GPU

PC

ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£
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AMDç‹¬è‡ªã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ã‚¹APIã€ŒMantleã€ã®è©³ç´°ãŒæ˜Žã‚‰ã‹ã«ã€‚ç†è«–ä¸Šã¯GeForceã®Mantleå¯¾å¿œã‚‚å¯èƒ½!?
AMDç‹¬è‡ªã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ã‚¹APIã€ŒMantleã€ã®è©³ç´°ãŒæ˜Žã‚‰ã‹ã«ã€‚ç†è«–ä¸Šã¯GeForceã®Mantleå¯¾å¿œã‚‚å¯èƒ½!? ãƒ©ã‚¤ã‚¿ãƒ¼ï¼šè¥¿å·å–„å¸ åŒ—ç±³æ™‚é–“2013å¹´11æœˆ11ã€œ12æ—¥ã«AMDã¯ï¼Œç±³å›½ã‚«ãƒªãƒ•ã‚©ãƒ«ãƒ‹ã‚¢å·žã‚µãƒ³ãƒŽã‚¼ã§é–‹ç™ºè€…å‘ã‘ã‚¤ãƒ™ãƒ³ãƒˆã€ŒAMD Developer Summit 2013ã€ï¼ˆç•¥ç§°ï¼ŒAPU13ã€‚ä»¥ä¸‹ç•¥ç§°è¡¨è¨˜ï¼‰ã‚’é–‹å‚¬ã€‚ãã®ãªã‹ã§ï¼Œã€ŒGraphics Core Nextã€ï¼ˆä»¥ä¸‹ï¼ŒGCNï¼‰ãƒ™ãƒ¼ã‚¹ã®Radeonã‚·ãƒªãƒ¼ã‚ºå°‚ç”¨ã«é–‹ç™ºã•ã‚ŒãŸã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ã‚¹APIã€ŒMantleã€ï¼ˆãƒžãƒ³ãƒˆãƒ«ï¼‰ã®è©³ç´°è§£èª¬ã‚»ãƒƒã‚·ãƒ§ãƒ³ã€ŒMantle: Empowering 3D Graphics Innovationã€ã‚’å®Ÿæ–½ã—ãŸã€‚ Mantleã®å˜åœ¨ãŒæ˜Žã‚‰ã‹ã«ãªã£ãŸ2013å¹´9æœˆã®æ™‚ç‚¹ã§ã¯ï¼Œã€ŒMantleãŒã©ã®ã‚ˆã†ãªä»•çµ„ã¿ã§ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã®é«˜é€ŸåŒ–ã‚’å®Ÿç¾ã—ã‚ˆã†ã¨ã—ã¦ã„ã‚‹ã®ã‹ã€ã¨ã„ã†ï¼Œè‚å¿ƒã®éƒ¨åˆ†ã¯èª¬æ˜Žã•ã‚Œãªã‹ã£ãŸã€‚APU1
indication 2013/11/15
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GPU

ã‚²ãƒ¼ãƒ

AMD

3D
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Â© 2013, NVIDIA CORPORATION. All rights reserved. Code and text by Sean Baxter, NVIDIA Research. (Click here for license. Click here for contact information.) Modern GPU is code and commentary intended to promote new and productive ways of thinking about GPU computing. This project is a library, an algorithms book, a tutorial, and a best-practices guide. If you are new to CUDA, start here. If you'r
indication 2013/05/21
nvidia

GPU

library

code
ãƒªãƒ³ã‚¯
GPUã‚’ç”¨ã„ãŸSSLãƒªãƒãƒ¼ã‚¹ãƒ—ãƒã‚ã‚·ã®å®Ÿè£…ã«ã¤ã„ã¦ - ã‚†ã†ã†ããƒ–ãƒã‚°
è¿‘å¹´ï¼Œæ±Žç”¨è¨ˆç®—ã®é«˜é€ŸåŒ–ã®ãŸã‚ã®ã‚¢ã‚¯ã‚»ãƒ©ãƒ¬ãƒ¼ã‚¿ã¨ã—ã¦æ³¨ç›®ã•ã‚Œã¦ã„ã‚‹GPUã‚’ï¼Œãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯å‡¦ç†ã«é©ç”¨ã™ã‚‹ä¸€ç’°ã¨ã—ã¦ï¼Œã‚µãƒ¼ãƒã‚µã‚¤ãƒ‰ã®SSLå‡¦ç†ã«æ³¨ç›®ã—ãŸè«–æ–‡ã‚’èªã‚“ã ã®ã§ï¼Œå†…å®¹ã‚’è»½ãç´¹ä»‹ã—ã¾ã™ï¼Ž SSLShader - GPU-accelerated SSL Proxy SSLShader SSLShader: Cheap SSL acceleration with commodity processors Proceedings of the 8th USENIX conference on Networked systems design and implementation 2011 ãªãŠï¼Œè©•ä¾¡ã«ä½¿ã‚ã‚ŒãŸå®Ÿè£…ã®ä¸€éƒ¨ã®ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ãŒå…¬é–‹ã•ã‚Œã¦ã„ã¾ã™ï¼Ž http://shader.kaist.edu/sslshader/libgpu crypto/ ç´¹ä»‹ èƒŒæ™¯ SSL(Secure Socket
indication 2013/04/18
èˆˆå‘³æ·±ã„

SSL

ãƒªãƒãƒ¼ã‚¹ãƒ—ãƒã‚ã‚·

GPU

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