TVM uses Verilator and DPI to connect Verilog/Chisel accelerator models written in SystemVerilog/Chisel to Python code. It initializes the hardware model and controls simulation using methods like SimLaunch, SimWait, SimResume. The Python code loads the accelerator module, allocates memory, runs the accelerator by calling driver functions that interface with the DPI to initialize, launch and wait for completion of the accelerator. This allows accelerators developed in Verilog/Chisel to be tested from Python.
Spresense Study meeting#1 How to use the Camera board義則 太田
This material is made for Spresense Study meeting #1 that was
held in Sony Creative Lounge on 18th April. Unfortunately this material is written in Japanese. If you want to have English one, please let me know.
Spresense Study meeting#1 How to use the Camera board義則 太田
This material is made for Spresense Study meeting #1 that was
held in Sony Creative Lounge on 18th April. Unfortunately this material is written in Japanese. If you want to have English one, please let me know.
WebRTC Conference Japan 2016 (2016年2月16日) の講演資料です。
発表者は中蔵聡哉と大津谷亮祐 http://www.slideshare.net/rotsuya です。
“Telexistence Robot controlled with WebRTC”
It's the presentation slides at WebRTC Conference Japan on Feb 16, 2016.
The presenters were Toshiya Nakakura and Ryosuke Otsuya http://www.slideshare.net/rotsuya .
WebRTC Conference Japan 2016 (2016年2月16日) の講演資料です。
発表者は中蔵聡哉と大津谷亮祐 http://www.slideshare.net/rotsuya です。
“Telexistence Robot controlled with WebRTC”
It's the presentation slides at WebRTC Conference Japan on Feb 16, 2016.
The presenters were Toshiya Nakakura and Ryosuke Otsuya http://www.slideshare.net/rotsuya .
We all make mistakes while programming and spend a lot of time fixing them.
One of the methods which allows for quick detection of defects is source code static analysis.
We all make mistakes while programming and spend a lot of time fixing them.
One of the methods which allows for quick detection of defects is source code static analysis.
This part of the tutorial shows the install options for TinyOS, describes briefly the layout of the tinyos-2.x and talks about two applications: one that is using dissemination service and another one that is using the collection service.
Video recordings of the event can be found here: http://vimeo.com/channels/tinyos
Self scaling Multi cloud nomad workloadsBram Vogelaar
During this talk we will discuss the problems encountered and the solutions implemented while dealing with building out a multi-cloud strategy. We will start by taking our first steps building a multi-region, multi-cloud Nomad cluster and discussing some pitfalls we encountered, since not all cloud providers are built the same. We’ll finish our talk by diving into ingress patterns and Consul config to be able to survive pretty much any outage or price change. Maintaining these config can be quite cumbersome but they’re are also a prime target to automate using Consul watches.
PVS-Studio and Continuous Integration: TeamCity. Analysis of the Open RollerC...Andrey Karpov
One of the most relevant scenarios for using the PVS-Studio analyzer is its integration into CI systems. Even though a project analysis by PVS-Studio can already be embedded with just a few commands into almost any continuous integration system, we continue to make this process even more convenient. PVS-Studio now supports converting the analyzer output to the TeamCity format-TeamCity Inspections Type. Let's see how it works.
The presentation from SPbPython meetup about simple self-made just-in-time (JIT) compiler for Python code.
N-th Fibonacci sequence number returning function is JIT-ed in the example.
You use InfluxData to monitor the performance of your infrastructure and apps—so it is equally important to keep your InfluxEnterprise instance up and running. Tim Hall, InfluxData VP of Products, will outline why and how you can monitor InfluxEnterprise with InfluxDB.
TensorFlow XLAの中では、
XLA Client を Pythonで利用できるようになっています。
また、2018年2月に開催されたSysMLの論文(JAX@Google)についても追記しました。
In TensorFlow XLA,
XLA Client is now available in Python.
Also added about SysML's paper (JAX @ Google) held in February 2018.
Tiramisu : A Code Optimization Framework for High Performance Systems
https://www.csail.mit.edu/research/tiramisu-framework-code-optimization-and-code-generation
の概要です。
ドキュメントがほとんどないので、ソースコード解析をやって、サンプルプログラムの内容について、調べてみました。
Building a Raspberry Pi Robot with Dot NET 8, Blazor and SignalR - Slides Onl...Peter Gallagher
In this session delivered at Leeds IoT, I talk about how you can control a 3D printed Robot Arm with a Raspberry Pi, .NET 8, Blazor and SignalR.
I also show how you can use a Unity app on an Meta Quest 3 to control the arm VR too.
You can find the GitHub repo and workshop instructions here;
https://bit.ly/dotnetrobotgithub
MATHEMATICS BRIDGE COURSE (TEN DAYS PLANNER) (FOR CLASS XI STUDENTS GOING TO ...PinkySharma900491
Class khatm kaam kaam karne kk kabhi uske kk innings evening karni nnod ennu Tak add djdhejs a Nissan s isme sniff kaam GCC bagg GB g ghan HD smart karmathtaa Niven ken many bhej kaam karne Nissan kaam kaam Karo kaam lal mam cell pal xoxo
10. TVM TSIM : apps/python
vta-hw/apps/tsim_example/tests/python/verilog_accel.py
if __name__ == "__main__":
tsim.init("verilog") => Verilog HDL モデルの初期化
for i in range(10):
test_accel()
vta-hw/apps/tsim_example/tests/python/chisel_accel.py
if __name__ == "__main__":
tsim.init("chisel") => Chisel モデルの初期化
for i in range(10):
test_accel()
11. TVM TSIM : apps/python
vta-hw/apps/tsim_example/python/tsim.py
def init(hw_backend):
"""Init hardware and software shared library for accelerator
Parameters
------------
hw_backend : str
Hardware backend can be verilog or chisel
"""
cur_path = osp.dirname(osp.abspath(osp.expanduser(__file__)))
hw_libname = "libhw" + get_ext()
if hw_backend in ("verilog", "chisel"):
hw_lib = osp.join(cur_path, "..", "hardware", hw_backend, "build",
hw_libname)
load_sw()
m = tvm.runtime.load_module(hw_lib, "vta-tsim")
f = tvm.get_global_func("tvm.vta.tsim.init")
f(m)
12. TVM TSIM : apps/python (verilog_accel)
vta-hw/apps/tsim_example/tests/python/verilog_accel.py
def test_accel():
rmax = 64
dtype = "uint64"
n = np.random.randint(1, rmax)
c = np.random.randint(0, rmax)
ctx = tvm.cpu(0)
a = tvm.nd.array(np.random.randint(rmax, size=n).astype(dtype), ctx)
b = tvm.nd.array(np.zeros(n).astype(dtype), ctx)
f = tsim.load_module() => 関数の獲得
cycles = f(a, b, c) => 関数の実行
msg = "cycles:{0:4} n:{1:2} c:{2:2}".format(cycles, n, c)
np.testing.assert_equal( b.asnumpy(), a.asnumpy() + c, err_msg = "[FAIL] " +
msg)
print("[PASS] " + msg)
13. TVM TSIM : apps/python (chisel_accel)
vta-hw/apps/tsim_example/tests/python/chisel_accel.py
def test_accel():
rmax = 64
dtype = "uint64"
n = np.random.randint(1, rmax)
c = np.random.randint(0, rmax)
ctx = tvm.cpu(0)
a = tvm.nd.array(np.random.randint(rmax, size=n).astype(dtype), ctx)
b = tvm.nd.array(np.zeros(n).astype(dtype), ctx)
f = tsim.load_module() => 関数の獲得
cycles = f(a, b, c) => 関数の実行
msg = "cycles:{0:4} n:{1:2} c:{2:2}".format(cycles, n, c)
np.testing.assert_equal( b.asnumpy(), a.asnumpy() + c, err_msg = "[FAIL] " +
msg)
print("[PASS] " + msg)