{"action":"created","issue":{"url":"https://api.github.com/repos/tunabrain/sparse-voxel-octrees/issues/6","labels_url":"https://api.github.com/repos/tunabrain/sparse-voxel-octrees/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/tunabrain/sparse-voxel-octrees/issues/6/comments","events_url":"https://api.github.com/repos/tunabrain/sparse-voxel-octrees/issues/6/events","html_url":"https://github.com/tunabrain/sparse-voxel-octrees/issues/6","id":60992192,"number":6,"title":"Program stoped to work with larger lutMemory and dataMemory ","user":{"login":"bitxue","id":8717601,"avatar_url":"https://avatars.githubusercontent.com/u/8717601?v=3","gravatar_id":"","url":"https://api.github.com/users/bitxue","html_url":"https://github.com/bitxue","followers_url":"https://api.github.com/users/bitxue/followers","following_url":"https://api.github.com/users/bitxue/following{/other_user}","gists_url":"https://api.github.com/users/bitxue/gists{/gist_id}","starred_url":"https://api.github.com/users/bitxue/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/bitxue/subscriptions","organizations_url":"https://api.github.com/users/bitxue/orgs","repos_url":"https://api.github.com/users/bitxue/repos","events_url":"https://api.github.com/users/bitxue/events{/privacy}","received_events_url":"https://api.github.com/users/bitxue/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":9,"created_at":"2015-03-13T06:01:58Z","updated_at":"2015-03-17T07:33:23Z","closed_at":null,"body":"Hi, Benedikt,\r\n\r\nJust to report to you a strange problem encountered when i used a larger lutMemory and dataMemory to generate voxels of different resolutions. \r\n\r\nMy computer configuration: 10GB memory, Win7 64 bit\r\nand the program is compiled with vs2013 with 64 bit release configuration (with the latest code). \r\ntested model: xyzrgb_dragon\r\n\r\nI have used a lutMemory  and dataMemory size of double the default value.\r\nstatic const size_t  lutMemory = 2 * 512 * 1024 * 1024;\r\nstatic const size_t dataMemory = 2 * 512 * 1024 * 1024;\r\n\r\nThe test results is as below:\r\nresolution\t       result\r\n256\t\t\t[ok]\r\n512\t\t\t[ok]\r\n1024\t\t[crashed]\r\n2048\t\t[crashed]\r\n\r\nThe problem can be easily reproduced. can you help us to see what is wrong there? Thanks in advance!\r\n\r\nBest,\r\nJunjie"},"comment":{"url":"https://api.github.com/repos/tunabrain/sparse-voxel-octrees/issues/comments/82183205","html_url":"https://github.com/tunabrain/sparse-voxel-octrees/issues/6#issuecomment-82183205","issue_url":"https://api.github.com/repos/tunabrain/sparse-voxel-octrees/issues/6","id":82183205,"user":{"login":"bitxue","id":8717601,"avatar_url":"https://avatars.githubusercontent.com/u/8717601?v=3","gravatar_id":"","url":"https://api.github.com/users/bitxue","html_url":"https://github.com/bitxue","followers_url":"https://api.github.com/users/bitxue/followers","following_url":"https://api.github.com/users/bitxue/following{/other_user}","gists_url":"https://api.github.com/users/bitxue/gists{/gist_id}","starred_url":"https://api.github.com/users/bitxue/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/bitxue/subscriptions","organizations_url":"https://api.github.com/users/bitxue/orgs","repos_url":"https://api.github.com/users/bitxue/repos","events_url":"https://api.github.com/users/bitxue/events{/privacy}","received_events_url":"https://api.github.com/users/bitxue/received_events","type":"User","site_admin":false},"created_at":"2015-03-17T07:33:23Z","updated_at":"2015-03-17T07:33:23Z","body":"Hi, Benedikt,\r\n\r\nActually we have a HP Z820 workstation with 128GB system memory. We want to visualize an entire airplane model by ray casting an super high resolution (might be 32768^3 or 65536^3) SVO. Currently I am using your project to handle this but i am not sure whether it is capable to handle. I guess there will be two issues: 1). building speed, it may cost a couple of days. 2) the storage size may be very large, which may need more compact compression schemes. Currently i was testing to generate SVO at 32768^3 resolution.\r\nDo you have some suggestions about this? or ideas to improve the project toward higher resolution and performance?"}}