{"id":25,"date":"2025-03-13T16:17:47","date_gmt":"2025-03-13T16:17:47","guid":{"rendered":"https:\/\/faculty.eng.fau.edu\/hrl\/?page_id=25"},"modified":"2025-03-13T16:25:26","modified_gmt":"2025-03-13T16:25:26","slug":"work-space","status":"publish","type":"page","link":"https:\/\/faculty.eng.fau.edu\/hrl\/work-space\/","title":{"rendered":"Work Space"},"content":{"rendered":"\n<p>________________________<\/p>\n\n\n\n<p><strong>Computing Resources at HRL<\/strong><\/p>\n\n\n\n<p>HRL houses several stand-alone machines along with different computational environments accessing cluster computing resources with large RAM and specialized servers. A number of hydrological modeling software available in public domain, ArcGIS, watershed modeling system (WMS) and several others dealing with hydro-meteorology (precipitation data processing, infilling, radar-based precipitation analysis) software developed at HRL are also available on several computational platforms. A variety of&nbsp; software&nbsp; dealing with optimization and artifical neural networks, data mining&nbsp; and statistical analysis are also available.&nbsp; Computationally intense tasks that handle large data sets in space and time and processing capabilities to handle geospatial analysis and geostatistics are also available for hydrologic simulation and water resources management studies.<\/p>\n\n\n\n<p>HRL hosts several networked state-of-the-art computing facilities on variety of computing platforms\/environments. The facilities provide several software for:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>Statistical Dowsncaling of GCM-based Hydrologic variables<\/em><\/li>\n\n\n\n<li><em>Climate Change Analysis<\/em><\/li>\n\n\n\n<li><em>Spatial Interpolation<\/em><\/li>\n\n\n\n<li><em>Radar-Rainfall Processes<\/em><\/li>\n\n\n\n<li><em>Hydrologic Modeling<\/em><\/li>\n\n\n\n<li><em>Deterministic and Stochastic Optimization<\/em><\/li>\n\n\n\n<li><em>Spatial Analysis<\/em><\/li>\n\n\n\n<li><em>Watershed Modeling<\/em><\/li>\n\n\n\n<li><em>Water Quality Modeling<\/em><\/li>\n\n\n\n<li><em>Object-Oriented Simulation<\/em><\/li>\n\n\n\n<li><em>Decision Support Systems<\/em><\/li>\n<\/ul>\n\n\n\n<p><strong>Computing Resources Available to HRL from College of Engineering<\/strong><\/p>\n\n\n\n<p><strong>&nbsp;<\/strong><em>Network Infrastructure<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>2 x Cisco 6510 10 Gbe Network Switches<\/li>\n\n\n\n<li>4 x Brocade VNX \u00a048 Port 10 Gbe Switches<\/li>\n<\/ul>\n\n\n\n<p><em>Virtual Desktop Infrastructure (Private Cloud) Compute Resources<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>3 x HP C7000 Chassis, \u00a04 x 10 Gigabit Network Interconnect<\/li>\n\n\n\n<li>23 x HP BL460c G6 Blade Servers (Each with 2 x Intel Xeon 2.5 Ghz CPU and 64 GB Memory)<\/li>\n\n\n\n<li>8 x HP BL460c G7 Blade Servers (Each with 2 x Intel Xeon 2.5 Ghz CPU and 96GB Memory)<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>2 x Dell R825 Rack Servers \u2013 512 GB RAM, 4 x 12 Core AMD Opteron CPU, 10 Gbe Network Interconnect,\u00a01 x Teradici Accelerator<\/li>\n\n\n\n<li>2 x Supermicro Rack Servers \u2013\u00a0512 GB RAM, 4 x 12 Core AMD Opteron CPU,10 Gbe Network Interconnect,\u00a01 x Teradici Accelerator<\/li>\n\n\n\n<li>1 x Dell R720 Rack Server \u2013\u00a0384 GB RAM, 2 x 8 Core Intel Xeon CPU, 10 Gbe Network Interconnect<\/li>\n<\/ul>\n\n\n\n<p><strong>Virtual Desktop Infrastructure (Private Cloud) 3D Dedicated Workstations<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>18 x Lenovo C20 Workstations (24 GB RAM, 2 x Intel Xeon CPUs, ATI\/AMD RG220 Graphics + PCOIP Card)<\/li>\n\n\n\n<li>14 x Supermicro Blade Workstations (\u00a024 GB RAM, 2 x Intel Xeon CPUs, ATI\/AMD RG220 Graphics + PCOIP Card)<\/li>\n<\/ul>\n\n\n\n<p><em>Virtual Desktop Infrastructure (Private Cloud) 3D Virtualized Machines (TechFee)<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Supermicro Rack Servers \u2013 256 GB RAM, 2 x Intel Xeon CPUs, 2 x NVIDIA K1 GPUs, 1 x Teradici Accelerator<\/li>\n\n\n\n<li>Supermicro Rack Servers \u2013 256 GB RAM, 2 x Intel Xeon CPUs, 1 x NVIDIA 21 GPU, 1 x Teradici Accelerator<\/li>\n<\/ul>\n\n\n\n<p><em>Virtual Desktop Infrastructure (Private Cloud) Storage Resources<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>2 x HP Compelent Storage Cluster (25 TB Total) \u2013 10 Gbe\u00a0Interconnect<\/li>\n\n\n\n<li>2 x Coho DataStream Storage Nodes \u00a0+ \u00a02 x Arista Networks SDN Switch (70 TB) \u2013 10 Gbe Interconnect<\/li>\n<\/ul>\n\n\n\n<p><em>Dell Windows 2012 File Storage Cluster (TechFee)<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>2 x Dell R620 + Dell MD3060e \u00a0(192 TB Total) \u2013 10 Gigabit Interconnect<\/li>\n<\/ul>\n\n\n\n<p><em>High Performance Computing Cluster (TechFee)<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>3 x Supermicro Server \u2013 32 GB RAM + 4\u00d712-core AMD opteron CPU (48 Cores)<\/li>\n\n\n\n<li>2 x Supermicro Server \u2013 64 GB RAM + 4\u00d712-core AMD Opteron CPU (48 Cores)<\/li>\n\n\n\n<li>3 x SuperMicro Server \u2013 128 GB RAM + 2\u00d78-core AMD Opteron CPU (16 Cores)<\/li>\n\n\n\n<li>2 x SuperMicro Server \u2013 512 GB RAM + 4\u00d712-Core AMD Opteron CPU (48 Cores)<\/li>\n\n\n\n<li>2 x SUN X4600 Server \u2013 64 GB RAM + 8 x 2.3 Ghz AMD Opteron (32 Cores)<\/li>\n<\/ul>\n\n\n\n<p><em>High Performance&nbsp;GPU Compute Cluster&nbsp;<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>8 x Dell Optiplex GX 745 (4 GB MEM, 1.86 Ghz, 200 GB Disk,NVidia 8800 GT GPU )<\/li>\n\n\n\n<li>2 x Lenovo C20 (24 GB Mem, 2 x 8 Core Xeon, 200 GB Disk, \u00a0\u00a0Nvidia 870 GPU)<\/li>\n<\/ul>\n\n\n\n<p><em>Genie Citrix Cluster<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>1 x HP Proliant \u00a0DL360 \u2013 2 x 2.5 Ghz CPU (8 cores), 72 GB, 2 x 1 TB Hard Drive<\/li>\n<\/ul>\n\n\n\n<p><em>Miscelleaneous Storage &amp; Backup<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>2 x Netapp F240c Cluster Storage Server (2 TB each)<\/li>\n\n\n\n<li>3 x Supermicro Storage Servers (14 TB each)<\/li>\n\n\n\n<li>1 x Supermicro Backup Server (70 TB)<\/li>\n\n\n\n<li>1 x Sun Unified Storage 7210 (12 TB)<\/li>\n\n\n\n<li>1 x Dell PowerVault TL2000 Tape Backup (20 TB)<\/li>\n\n\n\n<li>1 x HP Tape Backup(150 TB)<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>________________________ Computing Resources at HRL HRL houses several stand-alone machines along with different computational environments accessing cluster computing resources with large RAM and specialized servers. A number of hydrological modeling software available in public domain, ArcGIS, watershed modeling system (WMS) &hellip; <a href=\"https:\/\/faculty.eng.fau.edu\/hrl\/work-space\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":101,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-25","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/pages\/25","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/users\/101"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/comments?post=25"}],"version-history":[{"count":2,"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/pages\/25\/revisions"}],"predecessor-version":[{"id":68,"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/pages\/25\/revisions\/68"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.fau.edu\/hrl\/wp-json\/wp\/v2\/media?parent=25"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}