- 21 January 2007
- 21,629
FIR @ GPU
Ένα από τα πρώτα Papers που βρίσκω που βασίζονται σε μοντέρνες υλοποιήσεις GPU. Εννοείται ότι η δουλειά του Koon ( http://www.avclub.gr/forum/showthread.php?t=29204&page=2&highlight=koon ) στο diy δεν έχει θέση σε ένα ακαδημαϊκό paper
, αλλά είμαι σίγουρος ότι σταδιακά θα δούμε και άλλα papers.
HIGH-PERFORMANCE REAL-TIME FIR-FILTERING USING
FAST CONVOLUTION ON GRAPHICS HARDWARE
Institute of Technical Acoustics,
RWTH Aachen University
Aachen, Germany
[email protected]
Institute of Technical Acoustics,
RWTH Aachen University
Aachen, Germany
http://dafx10.iem.at/proceedings/papers/WefersBerg_DAFx10_P76.pdf
ABSTRACT
In this paper we examine how graphic hardware can be used
for real-time FIR filtering. We implement uniformly-partitioned
fast convolution in the frequency-domain and evaluate its performance
on a NVIDIA GTX 285 graphics card. Motivated by audio
rendering for virtual reality, our focus lies on large-scale realtime
filtering with a multitude of channels, long impulse responses
and low latencies. Graphics hardware has already been used for
audio signal processing — including FIR and IIR filtering with
respect to offline and real-time processing. However, the combination
of GPU computing and real-time conditions leads to a
number of challenges that have not been reviewed in detail. The
new contribution of this paper is an implementation and detailled
analysis of a frequency-domain fast convolution method on GPUs.
We discuss specific problems that emerge under real-time conditions.
Our method allows to achieve an outstanding real-time filtering
performance. In this work, we do not only regard a timeinvariant
filtering, but also time-varying filtering, where filters are
exchanged during runtime. Furthermore, we examine the opportunities
of distributed computation—using CPU and GPU—in order
to maximize the performance. Finally, we identify bottlenecks
and explain their impact on filter exchange latencies and update
rates.
Σε αντίστοιχα νέα έχουμε και την παρουσίαση της νέας σειρά DSP της Τ.Ι. TMS320C66x
CHIPMAKER Texas Instruments (TI) has released a digital signal processor (DSP) that it claims is the fastest on the market.
…
TI's multi-core DSP chips will be priced starting at $99 per 1,000 units and will be available for delivery in the first quarter of 2011. µ
http://www.theinquirer.net/inquirer/news/1895018/texas-instruments-dsp-chip-claims-beat-gpgpus
περισσότερα εδώ:
http://focus.ti.com/dsp/docs/dspcon...28&DCMP=nysh_101109&HQS=Other+OT+c66multicore
Δεν έχω την ικανότητα / γνώσεις να παράξω αντίστοιχο κώδικα σε OpenCL δυστυχώς … αν και δοκίμασα το σχετικό api της ΑΤΙ … μου φάνηκε βουνό …
Ελπίζω σύντομα να δούμε και Open source υλοποιήσεις….
Ένα από τα πρώτα Papers που βρίσκω που βασίζονται σε μοντέρνες υλοποιήσεις GPU. Εννοείται ότι η δουλειά του Koon ( http://www.avclub.gr/forum/showthread.php?t=29204&page=2&highlight=koon ) στο diy δεν έχει θέση σε ένα ακαδημαϊκό paper
, αλλά είμαι σίγουρος ότι σταδιακά θα δούμε και άλλα papers. HIGH-PERFORMANCE REAL-TIME FIR-FILTERING USING
FAST CONVOLUTION ON GRAPHICS HARDWARE
Institute of Technical Acoustics,
RWTH Aachen University
Aachen, Germany
[email protected]
Institute of Technical Acoustics,
RWTH Aachen University
Aachen, Germany
http://dafx10.iem.at/proceedings/papers/WefersBerg_DAFx10_P76.pdf
ABSTRACT
In this paper we examine how graphic hardware can be used
for real-time FIR filtering. We implement uniformly-partitioned
fast convolution in the frequency-domain and evaluate its performance
on a NVIDIA GTX 285 graphics card. Motivated by audio
rendering for virtual reality, our focus lies on large-scale realtime
filtering with a multitude of channels, long impulse responses
and low latencies. Graphics hardware has already been used for
audio signal processing — including FIR and IIR filtering with
respect to offline and real-time processing. However, the combination
of GPU computing and real-time conditions leads to a
number of challenges that have not been reviewed in detail. The
new contribution of this paper is an implementation and detailled
analysis of a frequency-domain fast convolution method on GPUs.
We discuss specific problems that emerge under real-time conditions.
Our method allows to achieve an outstanding real-time filtering
performance. In this work, we do not only regard a timeinvariant
filtering, but also time-varying filtering, where filters are
exchanged during runtime. Furthermore, we examine the opportunities
of distributed computation—using CPU and GPU—in order
to maximize the performance. Finally, we identify bottlenecks
and explain their impact on filter exchange latencies and update
rates.
Σε αντίστοιχα νέα έχουμε και την παρουσίαση της νέας σειρά DSP της Τ.Ι. TMS320C66x
CHIPMAKER Texas Instruments (TI) has released a digital signal processor (DSP) that it claims is the fastest on the market.
…
TI's multi-core DSP chips will be priced starting at $99 per 1,000 units and will be available for delivery in the first quarter of 2011. µ
http://www.theinquirer.net/inquirer/news/1895018/texas-instruments-dsp-chip-claims-beat-gpgpus
περισσότερα εδώ:
http://focus.ti.com/dsp/docs/dspcon...28&DCMP=nysh_101109&HQS=Other+OT+c66multicore
Δεν έχω την ικανότητα / γνώσεις να παράξω αντίστοιχο κώδικα σε OpenCL δυστυχώς … αν και δοκίμασα το σχετικό api της ΑΤΙ … μου φάνηκε βουνό …
Ελπίζω σύντομα να δούμε και Open source υλοποιήσεις….
