Skip to main content

vhlsrs

It means Vivado HLS run synthesis.

This package contains a script that runs vivado synthesis in a (somewhat) reproducible way.

It also allow to search for the minimum pipeline depth design for a given clock period constrain.

Usage

Experience description

The experience to run should be described in a .ini.

A complete experiment description looks like :

[EXP_NAME]
comp_path=path/to/component/file.cpp
top_level_comp= Name of top level function
period= clock period in ns (float)
part= part code name (default is xc7k160tfbg484)
standard= c++ standard to use. (default is c++11)
includes=comma separated list of directories containing includes to use during the synthesis. optionnal.
defines=Key=comma separated list of key=value preprocessor macro that will be defined during synthesis
keep_env=True/False Should the synthesis environment be kept after the synthesis is performed. Default is False.
ip_lib= Name of the ip library to use when exporting the ip (optionnal)
ip_version= Version to use when exporting the ip (optionnal)
ip_descr= description that will be exported along the vivado ip (optionnal)
ip_vendor= vendor name for the exported vivado ip (optionnal)
latency= ltency constraint for the initial design (optionnal)
hdl= verilog|VHDL
no_pipeline=True|False if true the design will not be pipelined (default false)
no_inline=True|False if true the function call will not be inlined (default false)
ctrl_hs=True|False Block protocol will be ap_ctrl_hs if true, ap_ctrl_none else. Default false.
exp_type=hls|syn|impl until which phase is the experiment to be performed

Running a one shot synthesis

python -m vhlsrs impl [expdescr.ini]

will implement the experiments described in expdescr.ini either with a latency constraint if given or with the minimal latency estimated by the tool.

Minimizing the latency

As vivado HLS is sometimes not very good at timing estimation, it can lead to overpessimistic latency.

the python -m vhlsrs minimize [expdescr.ini]

will attempt to find the lowest pipeline depth that still respect the clock constraints by dichotomy. If a latency constraint is provided, it will start the exploration with a designed with this constraint. Otherwise, it will start the exploration with the latency estimated by the tool.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vhlsrs-0.0.90.tar.gz (10.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vhlsrs-0.0.90-py3-none-any.whl (11.2 kB view details)

Uploaded Python 3

File details

Details for the file vhlsrs-0.0.90.tar.gz.

File metadata

  • Download URL: vhlsrs-0.0.90.tar.gz
  • Upload date:
  • Size: 10.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.1

File hashes

Hashes for vhlsrs-0.0.90.tar.gz
Algorithm Hash digest
SHA256 48df9f7a98daf79e67ea111492ee3b6cdd52356b307b8225100c36b2d56b5561
MD5 f64a4c2b243e510d5c0bc693ec0a20e8
BLAKE2b-256 3d4481102ea42bce9d63340dc88df9a0340730f8654ba8c469959e73b8e06b3f

See more details on using hashes here.

File details

Details for the file vhlsrs-0.0.90-py3-none-any.whl.

File metadata

  • Download URL: vhlsrs-0.0.90-py3-none-any.whl
  • Upload date:
  • Size: 11.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.9.1

File hashes

Hashes for vhlsrs-0.0.90-py3-none-any.whl
Algorithm Hash digest
SHA256 610bb09948cc9168d27d19e796a256818921e568adf16876defec2a412e83401
MD5 7c71e5d61ef01d58485b6e4a1eb89ee1
BLAKE2b-256 ee03e5dfea3fccf84ed2ba53f627b3053131c8b927e504a03318722c8344ea5f

See more details on using hashes here.

Release history Release notifications | RSS feed

0.0.95

2 files

0.0.94

2 files

0.0.93

2 files

0.0.92

2 files

0.0.91

2 files

This release

0.0.90 This release

2 files

0.0.89

2 files

0.0.88

2 files

0.0.87

2 files

0.0.86

2 files

0.0.85

2 files

0.0.84

2 files

0.0.83

2 files

0.0.82

2 files

0.0.81

2 files

0.0.80

2 files

0.0.79

2 files

0.0.78

2 files

0.0.77

2 files

0.0.76

2 files

0.0.75

2 files

0.0.74

2 files

0.0.73

2 files

0.0.72

2 files

0.0.71

2 files

0.0.70

2 files

0.0.69

2 files

0.0.68

2 files

0.0.67

2 files

0.0.66

2 files

0.0.65

2 files

0.0.64

2 files

0.0.63

2 files

0.0.62

2 files

0.0.61

2 files

0.0.60

2 files

0.0.59

2 files

0.0.58

2 files

0.0.57

2 files

0.0.56

2 files

0.0.55

2 files

0.0.54

2 files

0.0.52

2 files

0.0.51

2 files

0.0.50

2 files

0.0.49

2 files

0.0.48

2 files

0.0.47

2 files

0.0.46

2 files

0.0.45

2 files

0.0.44

2 files

0.0.43

2 files

0.0.42

2 files

0.0.41

2 files

0.0.40

2 files

0.0.39

2 files

0.0.38

2 files

0.0.37

2 files

0.0.36

2 files

0.0.35

2 files

0.0.34

2 files

0.0.33

2 files

0.0.32

2 files

0.0.31

2 files

0.0.30

2 files

0.0.29

2 files

0.0.28

2 files

0.0.27

2 files

0.0.26

2 files

0.0.25

2 files

0.0.24

2 files

0.0.23

2 files

0.0.22

2 files

0.0.21

2 files

0.0.20

2 files

0.0.19

2 files

0.0.18

2 files

0.0.17

2 files

0.0.16

2 files

0.0.15

2 files

0.0.14

2 files

0.0.13

2 files

0.0.12

2 files

0.0.11

2 files

0.0.10

2 files

0.0.9

2 files

0.0.8

2 files

0.0.7

2 files

0.0.6

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page