Certainly! Below is an example of how you could implement a simple SHA-1 hashing algorithm using PyCUDA. PyCUDA allows you to leverage the power of your GPU for parallel processing tasks, including cryptographic operations like hash functions.
First, make sure you have PyCUDA installed:
pip install pycudaHere's a basic implementation of SHA-1 using PyCUDA:
| set tabstop=4 | |
| set shiftwidth=4 | |
| set autoindent | |
| set hlsearch | |
| call plug#begin() | |
| Plug 'tartansandal/vim-compiler-pytest' | |
| Plug 'gergap/vim-ollama' | |
| call plug#end() |
| venv | |
| .cpcache |
| {:deps {org.clojure/clojure {:mvn/version "1.11.3"} | |
| instaparse/instaparse {:mvn/version "1.5.0"} | |
| org.clj-commons/gloss {:mvn/version "0.3.6"} | |
| generateme/fastmath {:mvn/version "2.4.0" :exclusions [com.github.haifengl/smile-mkl org.bytedeco/openblas]} | |
| org.lwjgl/lwjgl {:mvn/version "3.3.3"} | |
| org.lwjgl/lwjgl$natives-linux {:mvn/version "3.3.3"}} | |
| :paths ["."]} |
| int t; | |
| int n; | |
| int dir; | |
| int axis; | |
| int grid = 100; | |
| int size = 80; | |
| void setup() { | |
| size(854, 480, P3D); | |
| rnd(); |
| ; https://lwjglgamedev.gitbooks.io/3d-game-development-with-lwjgl/content/chapter27/chapter27.html | |
| ; https://github.com/LWJGL/lwjgl3/issues/558 | |
| (require '[clojure.reflect :as r] | |
| '[clojure.pprint :as p]) | |
| (import '[org.lwjgl.assimp Assimp AIMesh AIVector3D AIVector3D$Buffer AIMaterial AIString AITexture]) | |
| (import '[org.lwjgl.stb STBImage]) | |
| (defn all-methods [x] |
| [ 3789.603274] [drm:amdgpu_job_timedout [amdgpu]] *ERROR* ring gfx timeout, signaled seq=428555, emitted seq=428557 | |
| [ 3789.603742] [drm:amdgpu_job_timedout [amdgpu]] *ERROR* Process information: process java pid 7811 thread java:cs0 pid 7848 | |
| [ 3789.604177] amdgpu 0000:05:00.0: amdgpu: GPU reset begin! | |
| [ 3789.705737] ------------[ cut here ]------------ | |
| [ 3789.705743] WARNING: CPU: 0 PID: 4769 at drivers/gpu/drm/amd/amdgpu/amdgpu_irq.c:656 amdgpu_irq_put+0x45/0x70 [amdgpu] | |
| [ 3789.706167] Modules linked in: ctr ccm rfcomm xt_conntrack nft_chain_nat xt_MASQUERADE nf_nat nf_conntrack_netlink nf_conntrack nf_defrag_ipv6 nf_defrag_ipv4 xfrm_user xfrm_algo xt_addrtype nft_compat nf_tables libcrc32c nfnetlink br_netfilter bridge stp llc snd_seq_dummy snd_hrtimer snd_seq snd_seq_device qrtr overlay cmac algif_hash algif_skcipher af_alg bnep binfmt_misc nls_ascii nls_cp437 vfat fat iwlmvm btusb mac80211 btrtl btbcm btintel btmtk intel_rapl_msr libarc4 intel_rapl_common bluetooth edac_mce_amd uvcvideo videobuf2_vmalloc |
| float x; | |
| float y; | |
| float vx; | |
| float vy; | |
| int radius; | |
| float ay; | |
| void setup() { | |
| size(1000, 800); | |
| x = 500; |
| {:deps {org.clojure/clojure {:mvn/version "1.11.1"} | |
| org.lwjgl/lwjgl {:mvn/version "3.3.2"} | |
| org.lwjgl/lwjgl$natives-linux {:mvn/version "3.3.2"} | |
| org.lwjgl/lwjgl-opengl {:mvn/version "3.3.2"} | |
| org.lwjgl/lwjgl-opengl$natives-linux {:mvn/version "3.3.2"} | |
| org.lwjgl/lwjgl-glfw {:mvn/version "3.3.2"} | |
| org.lwjgl/lwjgl-glfw$natives-linux {:mvn/version "3.3.2"}}} |
| {:deps {org.clojure/clojure {:mvn/version "1.11.1"} | |
| net.mikera/core.matrix {:mvn/version "0.63.0"} | |
| net.mikera/vectorz-clj {:mvn/version "0.48.0"} | |
| org.ejml/ejml-all {:mvn/version "0.43"} | |
| criterium/criterium {:mvn/version "0.4.6"} | |
| generateme/fastmath {:mvn/version "2.2.2-SNAPSHOT" :exclusions [com.github.haifengl/smile-mkl org.bytedeco/openblas]}}} |