To make HAIBAL deep learning a reference, enhancing pre and post-processing speeds is essential. This led us to initiate the Perrine project this early summer — a project named after the dedicated developer leading the initiative. Perrine aims to translate the entire LabVIEW palette into 𝗖𝗨𝗗𝗔, enabling optimized programming for NVIDIA GPUs initially, with subsequent plans for 𝗙𝗣𝗚𝗔 versions compatible with 𝗜𝗡𝗧𝗘𝗟 and 𝗫𝗜𝗟𝗜𝗡𝗫.
Beyond its primary goal, Perrine also seeks to foster compatibility across all our toolkits. Intercompatibility holds equal significance, enabling the combined use of our toolkits to address diverse industrial challenges, much like the collaboration between HAIBAL, the LabVIEW deep learning toolkit by Graiphic and 𝐓𝐈𝐆𝐑, 𝐭𝐞𝐧𝐬𝐨𝐫 𝐚𝐧𝐝 𝐢𝐦𝐚𝐠𝐞 𝐛𝐲 𝐠𝐫𝐚𝐢𝐩𝐡𝐢𝐜.
Moreover, we’re pleased to share that Perrine’s development version will be offered free of charge (excluding deployment) and will remain exclusive to our 𝗚𝗜𝗠 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (Graphic Software Management platform).
More announcements coming soon, stay tuned !
