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authorTanner Robison <[email protected]>2026-06-17 23:31:30 -0700
committerTanner Robison <[email protected]>2026-06-17 23:31:30 -0700
commit00ba3dd475eadaedc0984401eb0272554439fb66 (patch)
tree8763262f4de878c11a18133d89f0a971f97f0805
parent3b87b8bd271ade1622149516ae14f94b7ff20dd5 (diff)
Updated README's
-rw-r--r--README.md7
-rw-r--r--neurobench_testing/README.md11
-rw-r--r--neurobench_testing/requirements.txt1
3 files changed, 15 insertions, 4 deletions
diff --git a/README.md b/README.md
index 7bef651..8577fd1 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,8 @@
# benchmark_suite_IREU
A benchmark suite for memristive and memcapacitive computing systems
-`git clone https://github.com/vaila-uoi/memtorch.git`
- `cd memtorch & python setup.py install.`
+## overview
+The memristive computing field lacks standardized benchmarks that control for workload characteristics, expose
+device-type differences, and report results comparable to conventional CMOS hardware. This project designs,
+implements, and releases a benchmark suite targeting memristive and memcapacitive crossbar architectures on
+CMOS substrates.
diff --git a/neurobench_testing/README.md b/neurobench_testing/README.md
index 7fc7003..0e3ad72 100644
--- a/neurobench_testing/README.md
+++ b/neurobench_testing/README.md
@@ -1,8 +1,15 @@
-#Set Up
+# Set Up
+
+all packages needed (maybe some extra oopsie) are listed in the requirement.txt file
+except for memtorch which needs to be cloned and compiled locally on linux systems,
+I am not sure for windows or mac.
```
pip install -r requirements.txt
-git clone https://github.com/vaila-uoi/memtorch.git
+git clone --recursive https://github.com/coreylammie/MemTorch
python setup.py install
```
+
+the memtorch testing file is building off of the example neurobench using memtorch
+to simulate the model on a memristive crossbar.
diff --git a/neurobench_testing/requirements.txt b/neurobench_testing/requirements.txt
index 66dd5cf..193c357 100644
--- a/neurobench_testing/requirements.txt
+++ b/neurobench_testing/requirements.txt
@@ -11,3 +11,4 @@ scikit-learn
ipython
numpy<2.0.0
pandas>=2.2.0,<3.0.0
+torchcodec